Equity - Science topic

Poverty, disease, and hunger remain among the most persistent and devastating challenges facing humanity. Despite significant advancements in science, technology, and medicine, these issues continue to affect billions worldwide, hindering progress and well-being for millions. What if science could be harnessed not just to mitigate these issues but to eradicate them entirely?

Recent breakthroughs in various fields—such as biotechnology, renewable energy, artificial intelligence, and social sciences—offer unprecedented opportunities to tackle the root causes of poverty, hunger, and disease in innovative ways. Can we leverage these advancements to design systems of resource distribution, healthcare, and education that are sustainable and equitable for all? Can biotechnology revolutionize food production and health solutions, while AI and data analytics create efficient, scalable models for poverty reduction?

Diversity, equity, and inclusion are three closely linked values held by many organizations that are working to be supportive of different groups of individuals, including people of different races, ethnicities, religions, abilities, genders, and sexual orientations. Diversity refers to perceived physical or socio-cultural differences attributed to people and the representation of these differences in research, market spaces, and organizations. Equity refers to fairness in treating people regarding opportunity and outcome. Inclusion refers to creating a culture that fosters belonging and incorporation of diverse groups and is usually operationalized as opposition to exclusion or marginalization.

https://forms.office.com/pages/responsepage.aspx?id=p2Bn6QZogkyOUYJ6pFZ5bZwSoEQyC_pKiH6TkxQonBtUQldXMjlMWjVaT0s1ODdSMVI3VDZKSDEzTC4u&origin=lprLink

I need publications on Equity multiplier

I once read a book about sociolinguistics in my "Intro to language and education" course, dating back to 2019. That book demonstrated the relationship between the art of the language and gender studies (e.g. speech patterns). Nowadays, we can see that there are many genders out there alongside LGBTQ, and many educational institutions are promoting equity for these particular social groups. Similarly, it becomes clear that some students have different studying preferences when it comes to learning.

My question here is, what do you think about this case? Will it become a norm in the next decade? If yes, how should teachers respond to this situation? Look forward to hearing from different interpretations.

For the sake of diversity, equity and inclusion, do the indigenous peoples of both the western and eastern Mediterranean, count as privileged Europeans? How? Why?

1)https://www.researchgate.net/publication/380876842_LONG_Term_Higher_SELF

2)https://www.researchgate.net/publication/377663987_Respectfully_and_Unfortunately_The_Improbability_of_and_Danger_in_Believing_in_Reincarnation

3)https://www.researchgate.net/publication/380427514_Kalergi_and_Hart-Cellerand_Memetics_White_Antifragility

1)https://www.quora.com/Why-does-Bj%C3%B6rk-look-Asian

1a)"The epicanthic fold produces the eye shape characteristic of persons from central and eastern Asia; it is also seen in some Native American peoples and occasionally in Europeans (e.g., Scandinavians and Poles)"(Britannica 2023).

Britannica, The Editors of Encyclopaedia. "epicanthic fold". Encyclopedia Britannica, 5 May. 2023, https://www.britannica.com/science/epicanthic-fold. Accessed 27 May 2024.

2)https://www.researchgate.net/publication/373013855_Europeans_PROBABLY_are_the_Last_Derivative_Population_but_East_Asians_have_the_Lowest_Genetic_Diversity

3)https://www.researchgate.net/publication/372371438_How_I_am_POSSIBLY_Over_100_Percent_Western_European

4) "A small minority of people in northern Sweden and Finland, known as Sami, have some connections with Siberian people.

I don’t think they look Chinese at all. Chinese people have their own unique phenotypes. If you are talking about their eyes, there is a connection with Siberian people, who have eyes that people usually will associate with looking East Asian. Most Scandinavians have eyes that are similar to the rest of Europe.

Convergent evolution is another factor, especially for people living in colder climates. It’s common" (Sam Jones). https://www.quora.com/Why-many-people-in-Scandinavia-look-Asian-Chinese

Yes, so they should follow DEI.

1)

2)

Source:

I am ready. I’m an autistic antiracism educator.

Respectfully, across reincarnation belief and scientific materialism, why is considering the individual self, as an illusion, a commonality? 1)

2)

Ashkenazi Jews co-exist and cooperate with the North Western European self-filter because the former are at least partially diaspora of the Levantine, mixed with whoever is recessive enough to continue their phenotype,(Levantine were some of the few Mediterraneans who were not subject to the dysgenic forces of petty nationalism, which is clinging to a homeland thus being subject to dysgenic forces). “Conservatives may have more kids but, liberals are more likely to use life extension and to have increased socioeconomic status. Removing almost all doubt, the self-imposed demographic decline of the North Western Europeans is an attempt to filter SO, only their GENERALLY smartest remain. Progressivism rightfully did NOT emerge from the Jews but, from North Western Europeans recognizing that under their continued empire, proving constructivism more so than hereditarianism, they would be subject to dysgenic forces and then become petty nationalists, and they have mysterious impulses to check their own unchecked power, as the most powerful group. As that was the case with the Mediterraneans. Plus, GENERALLY the highest IQ North Western Europeans are liberals and they GENERALLY get more progressive on race relations the more intelligent they become. ALL DISPARITIES are the fault of the North Western Europeans, thus the MOST ENLIGHTENED North Western European people should be cloned so they and their descendants can pay reparations. And the recessive privileges of being an Enlightened North Western European should MAYBE be distributed through genetically engineered somatic mutations”(Ohnemus 2024)

I no longer feel attracted to women nor men. I prefer robots. Liberals rightfully oppose racial animosity while acknowledging heritability to further DEI. If I make a controversial claim and no one directly opposes it then they may be silently agreeing. For right or wrong "As (insert morally superior identity) then argument" translates to "my word has more credibility because of my identity." As one of the MOST disliked people by the Nazis, I opine about race relations. Whether overt or covert, North Western Europeans("NWE") are highly eugenic and or transhumanist, hence in their most exclusionary known ideology (Nazism) they especially want to either castrate and or kill people that look like them yet have subtle non-NWE ancestry and or disabilities. Because subtle non-NWE ancestry and disabilities are both possibly hereditary. I have both subtle non-NWE ancestry and at least one(maybe multiple) disabilities(all probably hereditary), hence my right to opine about race relations. Few actually believe in martyrdom and would go through with it. A true martyr would be fired for holding integrity, courage and honor all over reputation. I will respect the authority for the common good. I also am not heterosexual, thus adding to my right to opine about race relations. My asexuality may make me a better Catholic because I seek to be fruitful and multiply(via robot sex) without acting on lust. Sir Francis Galton(Anglo Liberal and Darwin's cousin) invented eugenics. Sir Julian Huxley(Anglo Liberal, both brother of author Aldous Huxley and grandson of Darwin's Bulldog(TH Huxley) started the transhumanist movement. Sir Julian Huxley also coined the term transhumanism. Some argue principles only count if the actor's needs are met. I think principles only count if the actor's needs are met. Hence, I do not believe in nor practice martyrdom. Financial blackmail may be worse than the emotional kind because the latter usually comes from a less powerful person. More power means more potential culpability.

There are different types of investments; Equity, fixed income such as bonds, alternative investments such as real estate, mutual funds, and unit trusts among others. A good investment decision is dependent on the investment type. What are the indicators/measures for good investment decisions in a small business in the face of limited information that can be used to generate indicators such as NPV, IRR, and payback period?

thank you for your kind response.

An enterprise is considering investing in a building project costing GHS 150,000. The following cash flows are expected from the project. The beta of the project is 1.15 and the market return is 18%. The risk-free rate is 12%.

Year GHS

0 (150,000)

1 50,000

2 55,000

3 90,000

4 105,000

a) What is the expected return/cost of equity on this project?

b) Mabel Enterprise is a levered entity with a percentage of debt to equity ratio of 4:6. If the interest rate on a bank loan is 20% and the cost of equity is computed in (a), what will be the NPV of the investment?

c) What is the IRR for the project?

d) What will be your overall advice concerning the viability of the project?

Who agrees identity politics are more permissible for the more marginalized to increase human rights? How?

As long as harm avoidance and reciprocity are met, education can and should decentralize for the sake of diversity, equity and inclusion. Sources:

Metaphysics:

Idea:

More Detailed Ideas:

World Orders:

Respectfully, at least the modern version of liberalism is the natural result of the equality thesis that still acknowledges heritability to further diversity, equity and inclusion. Whereas conservatism directly denies heritability or dodges the question. Also conservatism does less to oppose racial animosity. Hence why liberalism usually wins being both more fair and more sustainable. Also the metaphysics of liberalism(universalist Christianity) are stronger. Plus Universal Eternal Salvation is the most parsimonious afterlife.

Sources

For Diversity, Equity and Inclusion, Respectful Academic Feedback on Anthology Welcomed.

“Why do I look so white? I am North Atlantic with Recent Asiatic DNA. DNA Assimilation Theorem: (group theory) A theory which proves beyond a reasonable doubt that, if in an individual's DNA test, the possible maximums of one race outweigh all others and that race matches the phenotype of the person then that person is biologically that race”(Ohnemus 2023).

“How I am POSSIBLY Over 100 Percent Western European (group Theory)A theorem which proves that I am over 100% Western European when all the max possible Western European blood percentages of my ethnicity estimate are added together and the highest possibilities of the other ethnicities are subtracted then I become over 100% Western European. Factors contributing to that genetic paradox are that I have a high mutational load(exemplified by my autism). And that the Southeast Asian Ethnicity is more Neanderthal than the European one”(Ohnemus 2023).

Work Cited

Respectfully, diversely, equitably and inclusively, who agrees the lack of moral absolutes(morality is objective but relative) decreases the likelihood of reincarnation? How?

Discussion Stimuli:

How valuable are privilege self-assessments to diversity, equity, and inclusion? Why? How?

Dear Colleagues,

As many of you may well acknowledge, movement of the human body is intimately connected to a broader individual sense of autonomy and a pursuit of happiness. The promotion of physical activity for the “benefit” and “wellbeing” of individuals across their lifespan has been a preeminent feature of a broader public health initiative in the United States. However, many public health initiatives—enacted for the benefit of all citizens—and the broader praxis of practitioners—e.g., emboldened individual acts as saviorism for the greater good—have nearly universally maintained the historical inequalities experienced by those from marginalized communities.

Indeed, one’s physical health is rooted to one’s larger sense of being well. Yet, overly simplistic messages such as “eat less, exercise more” or “try walking more” neglect the documented systemic barriers such as cost, proximity, safety, etc., that limit historically and perpetually marginalized individuals from receiving such benefits. Presenting individualistic strategies to improve one’s health has served only to exacerbate entrenched issues and has often caused persons to engage in fewer and less enjoyable modes of physical activity; this has left only those with the affordances, such as those with more affluence, of the racial (i.e., white) or sexual (i.e., heterosexual) majority, or whose accommodation needs fit within those readily available.

To combat historical inequity and prepare for the ever-diversifying populace of the US, we are soliciting contributions for a Special Issue of Societies, titled “Interwoven Nuance: An Exploration of Youth Physical Activity Promotion and the Connection to Family Wellbeing”. This collection will consist of critical inquiries into wellbeing, physical activity, and family dynamics and their relationship to persistent, pervasive health disparities among perpetually marginalized communities. Such manuscripts may consider one or multiple forms of marginalization as related to racism, sexism, homo/transphobia, ableism, anti-immigrant, antisemitic, etc., and their influence on individual or collective wellbeing—defined as an individual’s perception of doing or being “well”—as part of, connected to, (un)related to, or otherwise linked with physical activity—defined as the intentional act of moving one’s entire body in a coordinated manner.

We, for this Special Issue, request submission of original empirical research studies or reviews. Manuscripts may be descriptive, exploratory, experimental, or theoretical; data of all forms (e.g., qualitative, or quantitative) will be considered. We will not consider manuscripts that are purely methodological; theoretical manuscripts may be considered but empirical articles will be prioritized.

We are hopefully awaiting submissions that are highly critical of the status quo or established traditions; this may include—but is not limited to—the following:

We will accept submissions from individuals of any affiliation and with all forms of credentials and expertise. All manuscripts will be expected to be transparent with their methodology and uphold the ethical standards for research as prescribed in the Belmont Report, the Declaration of Helsinki, and the Nuremberg Code.

We look forward to receiving your contributions; submissions can be made at: https://www.mdpi.com/journal/societies/special_issues/GCFZ2B127T.

Please feel free share this announcement or the attached flyer amongst your networks. Reply with any questions.

Your guest editors,

Dr. Andrew Colombo-Dougovito Dr. Yolanda Mitchell

Are you interested in collaborating as a member of an international advisory board for a publication focused on educational equity?

If you are interested, you can get more information:

You need to hold a Ph.D. and be experienced in working for educational equity. This invitation is voluntary and free of charge. There is no economic compensation offered beyond what is set by the publisher, but it can be a good starting point to get to know each other and perhaps open new doors for future collaborations on educational equity.

We would like to discuss your interest and explore the potential for your valuable participation on the International Advisory Board.

Thanks.

Inclusive Pedagogy

Promoting Equity

I am already familiar with the process of calculating hedge ratios with linear regression (OLS). I am already running 4 different regressions for calculating hedge ratios between emerging markets and different hedging assets like gold. This is done on in-sample data.

That would look something like this: EM=a+b*GOLD+e

I then construct a portfolio and test the standard deviation of the portfolio and compare that with the non-hedged portfolio of only emerging market equities in the out-sample: R-b*GOLD

However, I want to compare these OLS hedge ratios to conditional hedge ratios from for instance a BEKK GARCH or a DCC GARCH.

I have already tried to work with R and I used the rugarch and rmgarch packages and created a model, modelspec and modelfit, but I do not know how to go from there.

My research topic is on family influence, financial outcomes and moderating role of financial education: Evidence from equity investors.

For financial outcomes (dependent variable) I have few determinants such as total investment, share portfolio value, investment strategy, awareness about technical indicators, expected future performance. So when creating the econometrics model should I assign weights or create an index for those determinants. If the scholar has not given the weights or an index what can I do?

facts on gender equity

I asked educators about their confidence levels (1=very unconfident to 5=very confident) in teaching 4 different topics: nutrition and health, social equity, environmental stewardship, and economic vitality. It looks like educators are much more confident in teaching nutrition and health vs the other three topics, but how do I know if there is a significant difference?

There has been significant academic writing on the topic of ethics, looking at a large population and hypothesizing that higher standards of ethics are needed.

ESG is pushed in academia, and throughout a corporate system, generally from ruling bodies that themselves are unethical and in violation of laws.

The government is supposed to be a representative government (in the United States), and is a steward to the People. By using the structure of an institution to justify hypocrisy, doesn't that invalidate the legitimacy of the instituin itself?

When properly created laws dont fit the interests of politicians, the politicians violate the laws regularly, whether on issues of insider trading, vaccines mandates, immigration, taxes, retirement savings, or simply public service vs expecations for entitlement.

When science is clear that masks do not prevent spread of viruses that are smaller than mask filters, systems still push a non-scientific, bullying approach to force mask onto the very people that they are stewards to despite science and data to the contrary.

When free speech is a right and protected act, governed by the ultimate law of the land, how is it acceptable to any person seeking ESG, to allow censorship and cancel culture?

When insider trading is a violation of laws but federal reserve presidents and congress and senators do it regularly, there is hypocrisy and loss of legitimacy in the institutions.

When healthcare leaders receive royalty payments as incentives for directing business and prescriptions, doesn't it shake the foundations of transparency, ethics and conflicts of interest to the core?

If we want diversity, equity and inclusion in society, should we review sports team racial makeup, or is that untouchable? When "Black Lives Matter" is painted on basketball courts for a season, should Hispanics, Whites, Asians feel racially slurred?

Why are there "ladies night out" specials in an age that fought against gender preferences?

Why are 30% of government contracts withheld for people based on gender and race?

Hypocrisy is ruining the trust and integrity in society, but the hypocrisy comes from the top, and the most hypocritical are the ones setting policy that they themselves do not adhere to.

Is humanity on a collision course with the mirror of hypocrisy, or will institutional leadership be required to end the hypocrisy from the top?

We see hypocrisy from the top at all institutions, and the most devastating aspect is that, because of the hypocrisy at the top, a culture of hypocrisy exists throughout.

As a citizen, tax payer and white male who has been questioned and censored for using free speech, critical thinking, facts, data, science and analysis, I have legitimate concerns about the lack of integrity at the top and the hypocrisy allowed by pitically connected organizations, and the consequences of such divisive, hypocritical living and bullying leads to lack of trust, and a breakdown in society. It also weakens a society, perhaps the ultimate game plan for those living the hypocrisy.

Comments?

How do you measure the capital structure for an insurance company when it is by nature leveraged?

My argument is that the debt/equity ratio is problematic for financial firms.

Dear community,

What is the code to perform a Fama-MacBeth regression in Stata? I understand how this works theoretically, but I do not understand how this is implemented in Stata. My variables are the 5 factors of the Fama French 5 factor model and 25 portfolios double sorted on size and book-to-market value of equity.

Additionally I have another question as well. That is, in order to test the Fama French 5 factor model, you just regress the factors on one of the portfolios right? In other words, is the correct code to test the 5 factor model:

- tsset date (in order to declare dataset to be time-series data with date as the time variable)

- reg me1bm1 markt smb hml rmw cma (where me1bm1 is the portfolio with lowest marketcap and lowest B/M and the other 5 variables are the 5 factors).

When I use this code I get very strange results, namely that almost all intercepts are significant (which is in contradiction with the Fama French papers). Hence, I am wondering whether there is something wrong with this code. I hope you all could help me with these 2 questions!

Yours truly,

Niek

Capital Asset Pricing Model (CAPM) describes rsik free rate of return and risk premium. But in IFM, there is no risk free rate of return. So, CAPM under IFM will be different than the traditional CAPM. what do you think??

Again , in the WACC there will not be the interest under IFM. SO, WACC under IFM equals to cost of equity only. What do you think??

What will the book value of equity constitute? Should it be just "Equity Share Capital" or "Total Shareholders fund"?

when I am taking "total shareholders fund" as denominator my tobin's Q is almost like "0.0085255183" is it normal?

When I embarked on this journey of exploring more on exploring the condition and status of gender equity and equality in architecture, or public spaces, or urban design, I found very little literature is available. Would be great to discuss on this topic. I have started to get an impression perhaps this topic is irrelevant or not trending at all. But I have strong feeling that has an importance, but very little research has been done on this. Would be great if you know of some documents or share some light on this.

I’m doing a research right now and I’m trying ti find how and to what extent corruption impacts the interest of retail investors in a particular country. After a brief lit review, I tought to correlate and do a regression between the corruption perceptions index and equity shares ownership by households in a given country. Now, I think that If I pop in other control variables it will dilute the significance of this one and I won’t be able to distinguish how high of significance is just corruption. Should I be adding things such as GDP, interest rates, inflation or some other even?

Hi All,

I have had lots of experience with computing RV and covariance matrices with equity data. I wanted to compute RV for US Treasury bonds and realized covariance/correlation with the S&P500. I downloaded 5 min continuous TY futures from Reuters Datascope. There are lots of missing observations around the rolling of contracts at maturity. This makes the data nearly impossible to use to construct RV.

Any suggestions on intraday data/different series to compute bond RV and covariance with equities.

Thanks

Adam

Question is

1- if loss occur instead of retaind earning then we calculate the loss in ratio X2? Or earning will be zero?

2- you public company we calculate the X4 as MVOE÷book value of long term debt OR MVOE ÷Totak liabilities?

3- Actually i want to compare the z- score of last 3 year of a company. When i calculate the Market value of equity for past 3 years . (Current price of share) in MVOE formula will be the past market price of every year OR i will use today current share price for MV of past 3 years?

Hedging is a risk management strategy employed to offset losses in investments by taking an opposite position in a related asset. Hedging strategies typically involve derivatives. Firms use derivatives to help mitigate various financial risk exposures. Common uses of derivatives for hedging include foreign exchange rate risk, interest rate risk, commodity price risk, and equity price risk. The reduction in risk provided by hedging also typically results in a reduction in potential profits. Hedging can increase borrowing capacity by reducing the volatility of the enterprise value. According to the Purchasing Power Parity, movements in exchange rates offset price level changes. So, can hedging using derivatives increase the value of the firm? If the answer is yes, how this increase in value is created?

Capital Structure is the particular mix of debt and equity used by a company to finance its overall operations and growth. There is an optimal capital structure for a given firm, that is the mix of debt and equity financing matters. The optimal capital structure is the optimal mix of debt and equity financing that lowers the firm's overall weighted average cost of capital and maximizes its value. Corporate Strategy is a portfolio approach to srategic decision making. It takes a look across all the firm's businesses to assess how to create the most value. To develop a corporate strategy, a firm must investigate how the various pieces of the business fit together, how they impact each other, and how the parent company is structured, in order to optimize human capital, processes, and governance. Corporate strategy builds on top of business strategy which is concerned with the strategic decision making for an individual business.

Shadow banks, which played a key role in triggering the recent global financial crisis, and venture capital companies that followed, have partly displaced traditional banks from corporate financing. Participation in the company as a shareholder increases the equity of these companies. At the same time, venture capital firms are pushing them to submit business plans with extreme growth assumptions that are intended to tempt other venture capital firms to provide additional equity for these companies. Unicorns are to be created that will eventually end up on the stock exchange. The whole thing looks suspiciously like a pyramid scheme. Where can one find empirical studies on this problem, which is capable of triggering the next global financial crisis?

I'm currently doing my undergraduate essay about American stock option implied volatility. Our school do not have the access to OptionMetrics. So I find the data in Nasdaq but couldn't subscribe since I can't apply for a credit card in China.

I have dataset only with number of adults and their incomes, and total health OOP expenditures for whole household. I used IC2 package in Rstudio to calculate concentration index for a income(C), and gini index for a OOP (G). I calculated it without weights and with default parametrs. Kakwani = C-G.

If we look at Altman Z-score, we will find that using this equation has a different ranges and each range indicates to a particular status of the company's financial future. For example: The company is predicted to go bankrupt if the score is below 1.81. A score between 1.81 and 2.99 belongs to a grey area. If the score below 2.675, there are 95% chances that the company will go bankrupt. A score of 3.0 or more indicates a low risk of bankruptcy.

On the other hand, when applying z-score (The z-score is defined as z ≡ (k+µ)/σ, where k is equity capital as percent of assets, µ is return as percent of assets, and σ is standard deviation of return on assets as a proxy for return volatility) to measure banking stability, we can not find any range of the results come out from this formula by almost all the studies (for example 1= is instable, 3= is stable). I went through many researches and studies but I have not found any clear explanation of the z-score's range. That is why I am asking this question, hopefully I will get an answer from you.

Thanks for your reading to my question

Regards

My initial intention is to analyze stock prices after firms have successfully emerged from bankruptcy (post-emergence date), as relevant literature report abnormal high returns after emergence. The complication is that there is a period of time where stocks are often suspended from trading during the chapter 11 process.

The average time between the bankruptcy filing and the official emergence date is around 300 days, meaning there is a gap in stock returns for firms under Chapter 11 process. Furthermore, firms may cancel the old stock and issue new stock on the emergence day.

Given this, I would like to know if this is a correct way of performing an event study: to use pre-bankruptcy stock prices as estimation window and post-emergence stock prices as event window?

Please suggest such topics whose research is not yet done.

What research data is available/known (e.g. papers, surveys, simulations, data sets, etc.) on modelling a Business Enterprise finances (Microeconomics) based on mapping its Financial Elements (like Asset, Debt, Equity, Income, Expenses, etc.) to the concepts of natural laws of Physics (like Mass, Energy, Force, Momentum etc.)?

As part of my research, I have to analyse 10 years time series financial data of four public limited companies through Multiple Linear Regression. First I analysed each company separately using Regression. The adjusted R square value is above 95% and VIF is well within limits but Durbin-watson measure shows either 2.4, 2.6 or 1.1 etc which signifies either positive or negative auto correlation. Then I tried the model with the combined data of all the four companies. This results in very less adjusted R squared value (35%) and again a positive auto correlation of 0.94 Durbin-Watson . As I am trying DuPont Analysis where the dependent variable is Return on Equity and independent variables are Net Profit Margin, Total Asset Turnover and Equity Multiplier, which are fixed, I cannot change the independent variables to reduce the effect of auto correlation. Please suggest me what to do.

I have data of 182 Firms for a period of(2017-2019). I want to know the financial performance of SMEs with reference to Conventional & Islamic Finance.

I have three categories, i.e.

1. Firms with financing from Islamic Finance

2. Firms with financing from Conventional Finance

3. Firms with financing Own-manger own sources/loans and not any bank financing

4. Firms with financing from Conventional + Islamic Finance

ROA, ROE as uses as a measures of financial performance Whereas, Short term debt, Long term debt and Debt to equity uses for Capital Structure.

Income inequality is increasing and if we look at absolute growth numbers, they look horrifying. One way to gauge the situation is to look at year-on changes, however, is there any 'optimal' range/ratio of income distribution amongst different income groups?

Ideally there should equity, however, in the world we live in, are there studies/yardsticks that one can plan towards?

Thanks!

the relationship between decentralization ,gender equity and participatory planning

Hi everyone,

I am carrying out a research on mutual fund performance, but I am a little bit stuck at the moment.

The goal of my analysis is: demonstrate that 'value' mutual funds outperform 'growth' mutual funds

Up to now, the workflow has been as follows:

- Select US equity funds in the CRSP Mutual Fund Holdings database, with complete quarterly portfolio holdings reports in the period from 2008 to 2018. Resulting sample size = 50

- Classify funds on the basis of their investment orientation. To this end, I have applied an adapted methodology from Morningstar (2002), thus carrying out a holdings-based analysis. Therefore I have identified the portfolio centroids for all the 50 funds on a quarterly basis, using a value-growth score as the x variable and a market cap score as the y variable.

- Retrieve quarterly returns for all the funds. After this, the funds have been classified, for every quarter, into 10 deciles. The deciles have been taken out of the x variable, so the value/gorwth score. Then, this exercise has been repeated along three market cap dimensions: small, medium, large. Therefore, for every quarter, there are 30 deciles, with at least 1 observation.

- Graph the scatter plot (see file) of the average return for each decile, for the entire sample period. The time variable has been treated both as a discrete and as a continous variable.

Now I would like to know how can I analyze these returns. I was thinking about using a CAPM, but I don't know which kind of parameters to specify, if any. Does someone have a suggestion/reference paper that can assiste me?

Could anyone please help me to acquire quarterly data on banks between 2011-19. I am specifically interested in: net interest margins, ROA, ROE, Equity/Assets, total assets, deposits to total assets, NPL, loan loss provisions, net interest income, operating revenues, total interest income, total liabilities, total common equity / core tier 1 capital, cost-to-income (efficiency) ratio, and equity. In USD if available. Any help is appreciated, thank you.

In Graham and Harvey (2001) paper, CEOs consider equity dillusion to be the most concerning factor when considering an equity offering, and therefore I am wondering is there a proxy for this controlling variable.

Thanks.

I have four independent variables that are advance to deposit, return on capital employed, EPS, dividend yield ratios, one dependent variable return on equity, and three moderating variables GDP growth, Unemployment, and Inflation . which model should I chose please guide me

Hi for all,

Excellent opportunity to submit research proposal about Digital Governance. New track about Digital Transformation in Subnational Governments led by me (Prof. Thiago Ávila) and Profª Drª Beatriz Lanza and Profª Drª Maria Alexandra Cunha.

----------------------------------------------------------------------------------------------------------------------------   

College of Public Affairs and Community Service, University of Nebraska at Omaha, June 9-11, 2021

Conference Website: http://dgsociety.org/dgo-2021/

Submissions: https://easychair.org/conferences/?conf=dgo2021

TRACK 3. Digital Sovereignty in the Era of Smart Cities

TRACK 4. Opening Government: Open Data-driven Innovation and Collaboration for a better Public Value

TRACK 5. Security and AI Ethics for the Next Wave of Data-driven Society

Track chairs: Kwon Hun-Yeong, Kim Mi-Ryang, Ko Yoon-Seok

TRACK 6. Beyond Bureaucracy: Participatory Online Politics and the Future of E-democracy

TRACK 7. Inclusive and Resilient Smart Cities

TRACK 8. Collaborative Intelligence: Humans, Crowds, and Machines

TRACK 9. Digital Transformation in Subnational Governments (NEW TRACK)

TRACK 10. Organizational Factors, Adoption Issues and Digital Government Impacts

TRACK 11. Cyber-physical Innovations for Public Policy and Service

TRACK 12. Automation of Public Services – Concepts, Practice, Implications and Emerging Perspectives

TRACK 13. Digital Government and Sustainable Development Goals

Track Chairs: Rony Medaglia and Gianluca Misuraca

TRACK 14. Blockchain-based applications for e-Government

TRACK 15. Legal Informatics

The Digital Government Society (DGS) will hold the 22nd Annual International Conference on Digital Government Research – dg.o 2021, with a special focus on the theme ” Digital Innovations for Public Values: Inclusive Collaboration and Community“.  the Digital Governance and Analytics Lab, the School of Public Administration, the Center for Public Affairs Research, and the College of Public Affairs and Community Service, University of Nebraska at Omaha, Omaha, Nebraska on June 9-11, 2021.  The dg.o conferences are an established forum for presentation, discussion, and demonstration of interdisciplinary research on digital government, political participation, civic engagement, technology innovation, applications, and practice. Each year the conference brings together scholars recognized for the interdisciplinary and innovative nature of their work, their contributions to rigor of theory and relevance of practice, their focus on important and timely topics and the quality of their writing.

The 22nd Annual International Conference on Digital Government Research (dg.o 2021) will feature the main theme of “Digital Innovations for Public Values: Inclusive Collaboration and Community.” Public values – such as efficiency, equity, transparency, privacy, security, trust, etc. — serve as the compass and goals for the development and implementation of digital innovations for public service. Recent developments in digital innovations — such as artificial intelligence, IoT, blockchain, social networking platforms, 5G, etc.— offer strategic opportunities for public value creation. These digital innovations are tools for us to solve monumental challenges facing our society such as pandemics, climate change, and sustainable development. More importantly, there is a return to focus on societal needs and values to guide digital innovations and to move away from technology push only for the sake of innovations.

Specifically, the conference aims to advance research and practice of public value creation via digital innovations by leveraging collaboration and community-oriented solutions in an inclusive manner. Collaboration can span the boundaries of individuals, organizations, sectors (public, private, and voluntary), and national borders in such forms as data and technology collaboratives, public-private partnership, and regional or global technology standards and policies. Communities can take on a virtual, physical, or blended form with a local, national, or global reach such as people’s local communities and our global community of the Digital Government Society (DGS). Community is also about taking a holistic (community-as-a-whole) approach to integrating digital innovations such as smart city and intelligent government. Inclusivity is about bridging socioeconomic and digital divides in governance such as inclusive civic engagement and e-participation. Inclusivity also entails openness, transparency, and leveraging digital means to engage community members for public value creation.

Submit your papers. We want to see you in dg.o 2021!!!

I conducted a study to investigate stock market reaction to equity issues announcement and i ended up with 64 announcements and i then used the announcement day returns as my DV and investigated the effect of corporate governance using 8 variables in the model. However, the number of observations came down to 34 firms based on data obtained. How can i justify my regression results given this scenario? Please help me.

We all need these vaccines regardless of our pockets and our health system weaknesse. No one should left behind.

Mutual Funds helps in creating a very large corpus of funds by collecting in small amount from a number of investors. It helps in further development of an economy, and the benefits so reaped from the improved performance of companies are enjoyed by the small investors, otherwise not willing to enter equity market.

I'm trying to analyse the impact of sustainability aspect on firm performance. My sample includes firms from the United States (US) as well as non-US firms. The study includes various variables (accounting ratios) such as Return on Assets, Return on Equity, Return on Sales, Debt-to-Equity, Capital Expenditure to Sales, etc. With the difference in the accounting treatment between IFRS and GAAP, are the ratios subjected to differ? If yes, then can the difference adversely affect my study's analysis and its results?

Dear community,

for a study I am currently conducting I would like to employ Tobin's Q as a DV. I employ the approximate Q measure suggested by:

Wang Jinqiang Yang (2017). Investment, Tobin’s q, and Interest Rates. Journal of Financial Economics, 1-47.

Here, Equity Value is calculated as: Stock Price * Shares outstanding

My question: If I want to approximate the Tobin's Q for a given year, should I use the closing stock price (fiscal year) or the average stock price?

Many studies have measures Q in yearly terms but did not specify this. Thanks in advance for your help.

Best, Philipp

greetings all , i hope this question meet you in a good health ,

am working on my thesis that is about financial structure and its relation with financial performance, am doing an empirical study evidence from Jordan market, furthermore ,after extracting the data and running the Hsiao Test it occur that the panel data is heterogeneous at the both levels, slope and the intercept, means i cannot do fixed or random effect, as am new to panel data , i do not know what model is suitable for this case . and a heterogeneous panel data does it differ from homogeneous panel data only on the model choice ? or there are other test i must run? keeping in mind that my N is 24 and T is 14 , i tried to play with the dimensions but the heterogeneity existed anyway, and my variables are ratios ( ROA , ROE / Debt Ratio , Equity Ratio ) and the capital structure determinants as control variables ( Size , Assets , Tax , Liquidity ),

I need good references for reading. Also how can I delimit it?

FInance literature suggests that one non behavior source of feedback trading is price manipulation. Any empirical studies that show any linkages between these 2 aspects in any kind of market eg equity markets, derivatives or foreing exchange market?

Hi guys,

I'm trying to calculate each factor of Fama and French 5 factors for my country capital market. Related to the data that I need (Market Value of Equity, Book Value of Equity, etc), do I need the data for all the firms in my country stock exchange or I just need the data for all the firms within the same sector that I want to study (for the example banking sector, consumer good sector, etc)?

Really appreciate any help from you guys.

As board remuneration is an expense and its impact on the profit of the same year must be negative. Consequently impact of board remuneration (dependent variable) will be negative on return on equity (ROE) and return on assets (ROA) as well. Would there be situations where board remuneration will positively affect net income/ROE/ROA of the comntemporaneous year?

Hello everyone,

I am working on a project to find out how teachers contribute to social justice and equity in schools. Therefore, I am interested in to what extent teachers are prepared to respond the diverse needs of students in the same classroom. How teacher preparation programs should guide beginning teachers so that they will be adaptive teachers to promote equity and justice among all learners?

I appreciate any related suggestions and articles that will facilitate my research about preparing socially just teachers.

I want to analyse the effect of inflation, interest rate, GDP and exchange rate on performance of equity investment.

I intend to use ROA as a measure of performance of equity.

am also thinking to transform ROA data from cross sectional to time series data by getting an average to enable me use time series model.

Kindly advice

Hey, everybody, I need some help with my master's dissertation.

I am using a simple regression, often used in literature that establishes a relationship between Price=B1+B2 Equity+ Net Result.

However, in reviewing the results I have the following problem:

-> If we analyse separately the equity variable(X) in relation to price(Y) it is significant for 5%, however in the model with net result it is no longer significant.

-> In the following year separately or together the equity variable is significant.

I am afraid that in the defence of the dissertation the question will be raised because in a model (year 2017) equity is not significant and in the following year it is.

Someone can help me?

p.s: the correlation between variables and own capital is very high but close for the two years 0.8

How to integrate ESG analysis in infra equity and fixed income analysis?

I want to calculate the performance for actively managed equity mutual funds with the Carhart’s (1997) four-factor model.

rit = αiT + βiTRMRF + βiTSMBt + βiTHMLt + βiTPR1YRt + εit

If I go to “Monthly Returns and Fama-French Factors” I obtain small-minus-big return (SMB), high-minus-low return (HML), the one-year momentum factor (PR1YR) and the risk-free return rate (one month Treasury bill rate). I also get the "excess return on the market". My question: is this the alpha? So, in other words, is this return already risk adjusted with the beta? If not, how can I calculate it?

Many thanks for any help!

Monthly data of oil prices is one of my independent variables. The purpose of doing this analysis is to get the relationship of oil prices with other financial variables (bond spreads, equity prices and others) and not predication. Can the non-stationarity of the independent and in some even the dependent variable still be a problem? and if so, what are the alternatives that I can work with.

At present, I have tried transforming my data by differencing it (which is unfortunately changing the relationship between my variables) or transforming by taking natural log of the data.

Thank you for your assistance in advance!

Have you ever used an intelligent tutor in your classroom? If yes, please share your experiences. How did you like it? How did your students like it? Do you think the students actually learned from this computer-based tutor? How do you know? If you have never used one, why? Please share your thoughts on what prevents you from using such a tutor. Do you think such a tutor will not provide learning? Do you find it hard to get free resources? Is it expensive for your institution? Interesting questions and I would appreciate a response from different countries in the world.

Hello dear friends I would like to know your opinion for this question:

What is the critical element that will accelerate equality and equity of opportunities for women in ICT?

Thank you

I am currently assisting on a research on cross border capital flows.

A common problem seems to be that both the acquisition of assets and valuation effects determine the