Science topics: EconomicsFinancial Economics
Science topic
Financial Economics - Science topic
Financial economics is the branch of economics concerned with "the allocation and deployment of economic resources, both spatially and across time, in an uncertain environment."
Questions related to Financial Economics
Dear Sir/Madam,
I hold a Master's degree in Commerce with dual specializations in Finance and International Business. Currently, I am pursuing my Ph.D. in Economics. I have dedicated two months to selecting a suitable topic; however, I have not been able to identify a promising one. I kindly request your valuable advice to help me choose an appropriate research topic.
Thank you
abdul Wasi Gowhar
Though it has been a few decades since Chaos Theory made its way into Economics and Finance through the works of Baumol & Benhabib, Alison Butler, David Levy, Philip Mirowski, Michael McKenzie, Robert Gilmore and Blake LeBaron
(among others), it is observed that most of the mainstream economics and finance journals are reserved towards publishing empirical papers on chaos in financial markets. Publications to this end are very few and most of them are published in a handful of journals.
As I am looking forward to write empirical papers examining the evidence of chaos in commodity markets, I wish to know the odds of my work seeing the light of the day. Any useful suggestion/information in this regard would be highly appreciated.
One that can be accessed online (preferably for free). I'm based here in the Philippines so I can't really directly communicate with the concerned agencies.
I’m trying to apply Ohlson price model to see the value relevance of exploration and evaluation expenditures in extractive industries, but I realize the biggest oil explorers in my country are government owned and are not listed on the stock exchange. How can I go about determining the share price that can give a realistic value relevance indicator?
I think I can evaluate this via a questionnaire. Could you offer me another solution?
Hi all
i am looking for a new and interesting topic for my new research. Please. if you have any i will much appreciate that. Thank you in advance
According to the latest publications and news the majority of the experts argue that Coronavirus (COVID-19) slows down the economy, the consumption falls, and most of the industries face a recession.
Are sources of global or national financial, economic, debt, monetary and financial crises described and explained in recent years in scientific publications taken into account in financial supervision institutions in shaping prudential instruments, improving financial system security systems in order to increase this level of security and reduce risk potential future occurrence of similar, similar financial and economic crises, etc., thus improving the sustainable economic development of the country and the global economy?
Do you know examples of countries in which in recent years institutions of supervision over the financial system while shaping prudential instruments, improving financial systems security systems took into account the sources of global or national financial, economic, debt and monetary crises described and explained in recent years in scientific publications e.t.c.?
What types of prudential instruments, instruments of the process of improving financial risk management, including credit, liquidity, currency, debt or other, operational, market, etc. were improved by financial supervisors after the global financial crisis in 2008, which were proposed in the last years in scientific publications?
Is the importance of improving the credit risk management processes in financial institutions growing due to the continuation of processes and market situations occurring on financial markets, including capital markets, stock exchanges, used business practices in investment banking, forecasted decline in the global economic growth rate in 2019, emerging considerations about the subsequent re-evaluation of securities valuations, etc.?
Please, answer, comments.
I invite you to the discussion.
Best wishes
Looking for a research topic for my Phd studies
Tanzanian currency loose it's value in the previous three years, without any positive changes to individual economy. This trend brings negative impact between people morality, especially rich people and poor people. I believe we need strong professional guidance and respect in order to rescue the situation. Political command should be set aside on sensitive issues like country economy.
Has the scale and instances of dissonance increased since the 1970s, and the disparity between the macroeconomic situation and the economic situation of a particular national or global economy, including economic growth, etc., and the situation on capital markets, including securities markets?
The above discussion inspired me to the following considerations: Well, since the development of the deregulation process, the increase in the globalization of financial markets, the introduction to the financial markets of many derivatives without full supervision by financial supervision institutions, i.e. since the 1970s the frequency has increased and the scale of emerging financial and economic crises in various parts of the world. At the same time, perhaps the business cycles are increasingly influenced by the monetary policy of central banks and fiscal policies of governments mainly of the world's largest economies. The result may be a growing discrepancy, a growing disproportion between the macroeconomic situation and the situation of a particular national economy or global economy, including economic growth, etc., and the situation on capital markets, including securities markets.
What do you think about this topic?
What is your opinion on this topic?
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
Has the scale and instances of dissonance increased since the 1970s, and the disparity between the macroeconomic situation and the economic situation of a particular national or global economy, including economic growth, etc., and the situation on capital markets, including securities markets?
Please reply
I invite you to discussion
Thank you very much
Best wishes
Dear altruist,
I am conducting research related to financial innovation. So, I decided to use broad-to-narrow money (M2/M1) as a proxy for financial innovation. Although the broad money data is available on the World Bank website, I was unable to come across any website that offers the narrow money data of all the countries for free. I have seen a website like Trading Economics that has the data related to M1 and M2 money supply, but they are on a pay per basis. As I am still an undergraduate student, I cannot afford to buy this data. It would be really helpful if anyone could suggest, where can I get Narrow Money (M1) or broad-to-narrow money (M2/M1) data of all the countries for free?
It is worth mentioning that the OECD database has narrow money data for all the OECD countries, but they do not have broad money data. One can ask why am I not using broad money data from the World Bank’s website (WB). Well, that is because OECD’s narrow money (M1) data and the WB’s broad money data is using two different types of variable. I cannot figure out how they will work together. So, if you can also provide any suggestions related to this, it will help too.
Thank you.
In recent times, there have been many topics on how artificial intelligence can be used in finance: automatic financial advice, new tools, more accurate prediction, automatic trading, data management, poverty alleviation, new ethical dilemmas.
Silvio Gesell proposed the idea of FreeMoney, which posited that money loses value over time. As such, this can accelerate circulation, as no one would want to bear the cost of holding on to currency.
Along the same lines, in a hypothetical situation where every citizen is given a certain amount of cash in their hands, with a caveat that the money will disappear (or not be valid) after a certain time (say 48 hours), where would it ultimately flow to?
Would love to hear your opinions.
What are the determinants of improving the marketing activities of enterprises through the use of advanced information, teleinformation, communication, Internet and advanced information processing technologies?
In my opinion, the development of Internet information services will be determined by technological progress in the field of new ICT technologies and advanced data processing techniques typical of the current technological revolution, known as Industry 4.0.
The development of information processing technology in the era of the current technological revolution determined by Industry 4.0 is determined by the application of new information technologies, for example in the field of e-commerce and e-marketing. These solutions are the basis for business success of the largest Internet technology companies that offer on the Internet information retrieval services, data collection and processing in the cloud (eg Google) and providing information services on developed social media platforms (eg Facebook, Instagram, YouTube, Tweeter, LinkedIn, Pinterest, and others).
The current technological revolution known as Industry 4.0 is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies. The mentioned information technologies in connection with the improvement of ICT and communication technologies, with the progressive process of increasing computing power of computers will become an important determinant of technological progress in various branches of industry in the coming years.
On the basis of the development of the new technological solutions in recent years, dynamically developing processes of innovatively organized analyzes of large information sets stored in Big Data database systems and computing cloud computing for applications in such areas as: machine learning, Internet of Things, artificial intelligence are dynamically developing, Business Intelligence. Added to this are additional areas of application of advanced technologies for the analysis of large data sets such as Medical Intelligence, Life Science, Green Energy, etc. Processing and multi-criteria analysis of large data sets in Big Data database systems is made according to the V4 concept, ie Volume (meaning number of data), Value (large values of specific parameters of the analyzed information), Velocity (high speed of new information appearing) and Variety (high variety of information).
The advanced information processing and analysis technologies mentioned above are used more and more often for marketing purposes of various business entities that advertise their offer on the Internet or analyze the needs in this area reported by other entities, including companies, corporations, financial and public institutions. More and more commercial business entities and financial institutions conduct marketing activities on the Internet, including on social media portals.
The abovementioned information and communication technologies combined with the improvement of ICT techniques and the implementation of Business Intelligence analytics to the processes of economic and financial, economic, macroeconomic and market analyzes may be instrumental to efficient and effective management of economic, investment and enterprises processes, including analyzes carried out for the purpose of improving marketing activities in enterprises.
More and more companies, banks and other entities need to conduct multi-criteria analyzes on large data sets downloaded from the Internet describing the markets on which they operate, as well as contractors and clients with whom they cooperate. On the other hand, there are already specialized technology companies that offer this type of analytical services, develop customized reports that are the result of multicriteria analyzes of large data sets obtained from various websites and from entries and comments on social media portals.
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
What are the determinants of improving the marketing activities of enterprises through the use of advanced information, teleinformation, communication, Internet and advanced information processing technologies?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
I am working on research related to financial economics and AI, I need the proxy of AI.
Thank you
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
Hi,
I am conducting research related to financial innovation. So, I decided to use broad-to-narrow money (M2/M1) as a proxy for financial innovation. Although the M2 money (broad money) data is available on the World Bank website, I was unable to come across any website that offers the M1 money (narrow money data) of all the countries for free. I have seen a website like Trading Economics that has the data related to M1 and M2 money supply, but they are on a pay per basis. As I am still an undergraduate student, I cannot afford to buy this data. It would be really helpful if anyone could suggest, where can I get Narrow Money (M1) or broad-to-narrow money (M2/M1) data of all the countries for free?
It is worth mentioning that the OECD database has narrow money data for all the OECD countries, but they do not have broad money data. One can ask why am I not using broad money data from the World Bank’s website (WB). Well, that is because OECD’s narrow money (M1) data and the WB’s broad money data is using two different types of variable. I cannot figure out how they will work together. So, if you can also provide any suggestions related to this, it will help too.
Thank you.
In a situation where the amplitude of short-term strong changes in valuations of securities, including shares and bonds on securities markets, is increasing, the situation of extreme reappraisal of these valuations is more frequent and the risk of a spectacular, sharp discount, bear market and stock market crash increases. And such violent stock market crashes began with major financial and economic crises.
The largest economic crises lasting a few years were the source of many negative macroeconomic processes, decline in host growth, consumption, investment, and an increase in unemployment. There were large social costs, productivity dropped, tax revenues to the state budget, the state of public finances deteriorated.
Paradoxically, in the situation of increased financing needs for new development projects, which should restore optimal economic growth, in the situation of an economic crisis, the possibilities of financing new investment projects based on public funds were decreasing. The source of this type of economic crises is the lack of a full correlation between the valuation of assets on stock exchanges and the processes of productivity and consumer demand for manufactured economic goods.
In addition, after analyzing the sources of the global financial crisis of 2008, the erroneously pursued monetary policy by the largest central banks, including in particular the Federal Reserve Bank, is added to the sources of this largest financial crisis in the history; moral gaming practiced by investment banking trading in securities used to finance mortgage loans for borrowers without creditworthiness; imperfect credit risk management systems for derivatives or unreliable practices, non-compliance with security procedures for credit risk analysis and control, and many other factors in investment banking.
Do you agree with me on the above matter?
Please reply
I invite you to the discussion
Best wishes
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!
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 cross border asset holdings as , for example, reported in the CPIS data. Hobza and Zeugner use the BoP statistics on portfolio investments to derive valuation effects on portfolio debt and equity (change in asset holdings minus acquisitions) (2014).
I am wondering if the valuation effect could also be estimated because I do not only want to distinguish between portfolio debt and equity but also between different types of instruments.
For instance, between different debt maturities.
In the past, globalization processes were determined by various factors. In my opinion, the processes of information, cultural, technological, financial, economic, political globalization are currently dominating.
In view of the above, I am asking you:
In what direction do you think globalization processes should follow in the future?
Please, answer, comments.
I invite you to the discussion.
Best wishes
I am a proponent of globalization that always together the desired goal is achieved faster and easier. But only in cases where this does not affect the interests of the main population of the earth who have an average income and a poor population as well as environmental aspects that contribute to the destruction of nature.
I want to know what applications fixed point theory has in financial & economic sciences. Is there any publication which help me to know more about? I need these information for a new research step.
There is a really strange phenomenon in Chinese stock markets. When the regulation institution decides to get some new companies listed (it is noteworthy that IPO has to get permission from Securities Regulatory Commission in China), the stock market drastic falls and the Chinese investors sell out their stocks crazily.
Some argue that more stocks listed means that more money is needed by the market, but the supply is constant in the short term. So the stock price falls. But I don't think it explains well what we observe.
Dears,
I am thinking to do the PhD but still confused in choosing a good topic. What are today's most attractive topics in Finance or Financial economics ? What else other than Fintech? Does Fintech require someone who has an IT qualification and skills?
P.S. ( I am trying to get a scholarship as I can't finance my self. What are the topics that can attract the universities and the research centers?)
What do you recommend?
Many Thanks
What do you think are the most important sources of financial and economic crises?
Which sources contributed to the generation of financial and economic crises in the past?
What do you think sources of future economic crises will dominate in the future? What kind of economic crises will dominate in the 21st century?
Please, answer, comments.
I invite you to the discussion.
Dear Friends and Colleagues of RG
The issues of risk management in the context of determinants of the global financial crisis, globalization processes, technological progress and other factors I described in the publications:
I invite you to discussion and cooperation.
Best wishes
In international context several solutions can be found for housing affordability, e.g. social and municipal housing; maximizing the rental fees by regulation (Berlin, München and Hamburg); state support for tenants or for the landlords.
Historically upon the basic functions and the risk management strategy of the banking sector, we can classify the different bank models:
- till 1972 traditional model (with the 3-6-3 rule);
- 1972-1988 the originate to hold (OTH) model;
- 1988-2008 originate to distribute (OTD) model.
After the crisis in 2008, a set of regulation (Basel III, Basel IV etc.) was introduced for strengthening the micro and macro prudent operation, environment.
I need data from ICRG Database political, financial, and economic risk ratings from 1984 to 2018 for all countries if anyone has access or data, please share on the following email. I will appreciate it. Thanks
I would like to have the List of 30 FTSE Bursa Malaysia Hijrah Shari’ah Index Constituents for research purposes (would be better if at least for the last five years)
Nb.
- I’ve contacted bursa Malaysia; they replied: “You can contact FTSE (http://www.ftse.com/products/indices/bursa-malaysia) for your request.”
- I’ve then contacted FTSE; they replayed: “Please note that per FTSE policy, Students must send their request from an academic e-mail address in order to be investigated.”
- I’ve then used my academic e-mail address; they replayed: “Please note that per FTSE policy we can provide the FTSE Bursa Malaysia Hijrah Shari’ah Index Constituents list for academic purpose only to PhD or higher. Could you please confirm your status?” !!!
- Hijrah Shari’ah Index Factsheet gives Top 10 Constituents only (http://www.ftse.com/Analytics/FactSheets/temp/c7961038-cbcc-4761-9a4b-18a4091770d6.pdf )
I do appreciate any assistance
Thank you beforehand.
SEC Form ADV is filed by hedge funds and is used to disclose basic information about the hedge fund and highlight legal issues and conflicts of interest.
Post-Keynesian economics is the basis of the current anti-cyclical, anti-crisis, pro-development socio-economic policies. I described these issues in my publications below.
In the context of the slowdown in global economic growth forecasted in 2019, the following key question appears:
What kind of instruments of interventionist, Keynesian, anti-crisis, pro-development socio-economic policy should be used in the period of slowdown in the country's economic growth?
More and more macroeconomic analyzes indicate that in 2019 a slowdown in economic growth will appear in many countries. In order to limit the scale of the decline in growth or absolute economic decline, the governments of individual countries try to activate economic processes and consumption using various instruments of socio-economic policy.
In my opinion, the improvement of pro-development instruments of socio-economic policy is particularly important in a situation of a downturn in the economy.
Currently, this issue is particularly important in connection with the forecasted decline in the rate of economic growth in 2019.
In my opinion, post-Keynesianism has been used in practice many times in countries when leaving deep economic crises. Until now, post-Keynesianism has been used to a large extent in many countries to restore the entire national financial systems and, indirectly, entire economies and to save the selected major manufacturing enterprises and financial institutions from the bankruptcy of the global financial crisis in autumn 2008.
The economy was restored to balance at the expense of increasing budget deficits in national public finances. New formulas of post-keyism were applied under state intervention. Paradoxically, the potential consequences of the potential deepening of the global financial and economic crisis in the event that this state intervention is not applied are unknown.
Probably the crisis would be much deeper, more socially costly and would last much longer. this type of assumption determines that post-Keynesian instruments of state intervention are used almost without restrictions, ie according to the proverb: "the end justifies the means". In this assumption, theoretical foundations become a secondary element, added according to anti-crisis, anti-cyclical interventionist, and active economic policy. I conducted research and wrote scientific publications on this topic.
Do you agree with my opinion on this matter?
In connection with the above, I am asking you:
- What anti-crisis instruments of Keynesian state intervention in the framework of an active socio-economic policy are applied in your country in order to limit the scale of the forecasted slowdown in economic growth in 2019?
- What kind of instruments of interventionist, Keynesian, anti-crisis, pro-development socio-economic policy should be used in the period of slowdown in the country's economic growth?
- Does government co-financed by the state budget, national housing development programs as part of housing policy, be an important element of anti-crisis, pro-development socio-economic policy as an effective instrument for reviving economic processes and improving the economic slowdown in the global economy?
- Do you know examples of countries where in recent years new concepts of pro-development, anti-crisis, Keynesian socio-economic policy have been implemented and developed, used to improve the country's economic growth, which have been developed and described in scientific publications in recent years?
- What kind of instruments of socio-economic policy have been applied with the positive effects of a significant improvement of the country's economic growth?
- What new concept of pro-development, anti-crisis, Keynesian socio-economic policy has been implemented and why?
- What positive effects on the functioning of the economy have been achieved by using a specific concept of socio-economic policy?
- Is the importance of improving the pro-development and anti-crisis concept, Keynesian socio-economic policy growing due to the predicted decline in the economic growth rate of the global economy in 2019?
In view of the above, I am asking you the following question:
Is the Keynesian and Post-Keynesian economics the basis of the current anti-crisis national socio-economic policies?
Please reply
I invite you to the discussion
Dear Friends and Colleagues of RG
The issues of specific programs to improve the economic, financial, material and housing situation of households as key instruments of pro-development keynesian anti-crisis state intervention and significant components of the socio-economic policy of the state I described in the publications:
I invite you to discussion and cooperation.
Best wishes
I have been coming across several studies in top journals that use Copula technique in their analysis. I find them to be more technical and difficult to comprehend in full. My limited interactions with a few professors did not bear any positive results as they were also new to this technique.
While I totally understand that it is the objectives and data under study that should drive the methodology used, I am really keen to know as to what these Copula models are and why they are gaining high acceptance in finance literature in the recent past. When does one use them? What are its advantages over all the other GARCH family of models?
I would really appreciate if someone could share the codes (RATS/MatLab/R) for a trivariate Vine-GARCH analysis. Any useful reads to better learn and understand Copula models would also be a great help.
Thanks in advance.
I have recently read a lot of papers that proceeds to comment on inefficiencies in financial markets purely based on empirical evidence derived from methodologies grounded on nonlinear serial dependence. For this matter, isn't non-linearity a stylised fact across financial assets? Why and how does evidence of non-linearity disprove EMH?
Given that there can be several other non-fundamental reasons for the presence of non-linearity in an asset series (such as imperfect markets, exogenous shocks, clustered information arrivals, bubble components, active speculation, geopolitical as well as political factors among others), is it fair to conclude that a particular market is inefficient based on such evidence?
More importantly, can a theory be disproved based on the examination of real world data that does not exactly mimic/reflect the underlying assumptions against which the theory is built upon?
It would be very helpful to all if you could suggest some supporting literature that could further stimulate this discussion along with your invaluable comments.
I am in the final stage of my PhD and I am looking forward to submit my thesis by August September 2019. I work broadly in the area of 'Nonlinear Dynamics in Crude Oil Prices'. Given that it might take another 6-9 months post submission of thesis for the awarding of thesis, I wish to know of some renowned universities that considers applications from candidates who have just submitted their thesis.
Additionally, it would be a great help if any of you could guide me with the requirements and the process involved in securing admission in an institute of high standings with full scholarship.
Many Thanks.
This question is based on a study investigating the influence of firm leverage on market performance in high intangible growth prospects.
Hi Peers,
I have a very good manuscript that used structural breaks analysis in evaluating financial deepening and income inequality but having some difficulties in getting it reviewed much less for publication. The reasons given by the Editors is that the manuscript topic is "outside Journal scope".
Please I need suggestions on the appropriate channel (Journal) to send my manuscript to.
Thank you.
How is it that despite the global economic crisis as a consequence to the practice of neo-liberal policy prescriptions, despite the turn-around in the globalization of the free markets with new protectionist policies being promoted by the United States, Europe, China and India, the discipline of Economics as it is taught in class rooms, continues to be dominated by Neo-Classical Micro-Economics, Monetarist & New Classical Macro-Economics and the free-radical Financial economics? Is it not high time that we promoted heterodox approaches in economics and thought a fresh on more appropriate and relevant analytical frameworks in the contemporary context instead of harping on neo-liberal ideology substituting for knowledge?
I am looking for free metadata about political risk.
For example data from ICRG, BERI, Euromoney et al.
I want to know that if we can apply ARDL model in case our dependent variable is stationary and the independent variables are a mix of stationary and non-stationary(integrated at order 1) variable?
Any available opportunity could be welcome.
Seeking studies involving applications of the GARCH-MIDAS model.
I am assuming a salient causal link between personal economic stress (i.e. household has poor or working poor income) and job performance, especially in high-stress occupations such as law enforcement. I'd appreciate any definitive studies or review article suggestions.
I mean individuals from LDCs who have pioneered research in certain areas of banking, finance and financial economics hardly earn nobel prize award from AFA, what is the reason behind that position?
No monetary autonomy, central bank cannot print money, fully dollarized economy
The financial market is full of financial engineers and economists who use complex mathematical models to demystify future economic patterns in a given space. The former British Conservative Member of Parliament, Mr. Matthew Parris, argues that forecasting is an exercise in futility and only serve to increase noise trading. To what extent do you agree with Mr. Parris that forecasting is an exercise in futility? Does forecasting result in noise trading?
Dear All;
I want to investigate relationship between Global Enery Resources and their Performance like Cost, Financing etc.
Thank you all.
I am trying to understand how academia sees the relationship between organizational tensions resulting from the demand to generate shared value and develop corporate social responsibility strategies and organizational ambidexterity.
Ar those tensions/paradoxes microfoundations of ambidextrous capabilities or antecedents in this relationship?
If you have any reading suggestion, I thank you in advance!
Best,
Larissa
They are in Europe and USA, but probably in other countries, as well. They are delete for elaborating quantitive financial and economical models, then, their existence is not taken into account for many strategical decision. We should be worry!
Apart from the conventional ‘dummy variable’ approach for measuring financial crisis, what are the alternative proxies for measuring financial crisis when conducting research in areas of financial economics?
Is it possible for the institutional investors such as mutual funds, investing companies, investment banks,etc. to beat or outperform market every time.
Although a number of academic articles show that the IRR does not implicitly assume reinvestment of interim cash flows at the IRR rate [for some of these references, see: Rich, S.P.; and J.T. Rose. (2014), ‘Re-examining an old question: Does the IRR method implicitly assume a reinvestment rate?’ Journal of Financial Education, 40(1/2), p.152-166.], some finance texts continue to include the error. I am undertaking some research to find out how some finance professionals justify holding on to this misconception.
I'm interested in financial economics and also I have ability to work with Artificial neural network and fuzzy logic.
is there any article about clustering or classification with financial approach?
Have you any idea about application of clustering and classification in financial markets?
Using the GEE method for the analysis, my sample data yielded below relation between liquidity measures/metrics and firm profitability (proxy is Tobin's q ratio)
- positive relationship between quarterly changes in Days of sales outstanding/inventory days on hand (DSO/DOH) and quarterly changes in Tobin's q
- negative relationship between quarterly changes in days of creditor payment outstanding (DPO) and quarterly changes in Tobin's q.
- positive relationship between quarterly changes in cash cycle (CCC) and quarterly changes in Tobin's q.
What could be the reasons for these results. Note that hypothesis test revealed non-significant value at p=5% and parameter estimate of the intercept return extreme value. Any idea on potential issue with the data or model.
See models below -
The CCC Model
∆TOBINS_Qit = β0 + β1(∆CCCit) + β2(∆CCCit-1) + β3(∆CCCit-2) + β4(∆CCCit-3) + β5(∆CCCit-4) + β6(ln SALESQit) + β7(ln DEBTit) + eit
Component Model
∆TOBINS_Qit = β0 + β1(∆DSOit) + β2(∆DSOit-1) + β3(∆DSOit-2) + β4(∆DSOit-3) + β5(∆DSOit-4) + β6(∆DOHit) + β7(∆DOHit-1) + β8(∆DOHit-2) + β9(∆DOHit-3) + β10(∆DOHit-4) + β11(∆DPOit) + β12(∆DPOit-1) + β13(∆DPOit-2) + β14(∆DPOit-3) + β15(∆DPOit-4) + β16(ln SALESQit) + β17(ln DEBTit) + eit
Salam All,
Please, do you know any studies showed or give evidence that: Islamic banks have higher stock prices volatility compared to conventional banks in GCC countries? or if you could suggest good papers discuss and compare stock return volatility between Islamic and Conventional banks in GCC during the last 10-15 years.
Thank you
I need historical prices data for global depository receipts listed on the London Stock Exchange.
Gold as a hedge for long-term inflation (study in emerging economies using the ARDL model)
Please suggest me a nice topic for PhD thesis in Finance. I am just in the introductory stage of PhD.
I am interested in Financial Economics but you can suggest me otherwise (In finance) as well.
Thanks
i) Some suggest yearly data is best while others opine that a 3-year data would be optimal to estimate high beta stocks & low beta stocks.
ii) Is there any source from where beta of stocks of NSE 50 Indian companies can be retrieved?
Is it true that there is a linear relationship between risk and return i.e. high risk associated with the high return and low risk with the low return.
I want to know where are located in the bank financial statemwnt and to know their relations and their affect on earnings
Hello! I'm currently writing my bachelor thesis on analysis of financial statements of investment fund.
It is quite easy to find information about analysis of investment/mutual funds performance valuation, but quite hard to find one on analysis of financial statements (by that I mean, that I need information about what methods could be used to analyze investment/mutual fund having only its financial statements).
If you have any recommendations for informational sources regarding this topic or something that you think might be helpful in this situation, please comment!
Thank you in advance! :)
debt market data which relate to bond market for instance rate for treasury bills, rate for treasury bond, rate for corporate bond.
I am working on panel data analysis of stock index return and valuation ratios of 30 companies listed on NSE. The period of study is b/w 2000- 20016. Need help
Not for all corporates, just those listed in Korea Stock Exchange.
Using Oaxaca-Blinder analysis I would like to investigate a wage premium for married men. However, I had some problems with STATA command syntax :(
I know there exists "nldecompose" command, but I'm completely lost with varname, omega and other components it includes...
Could you please help me to deal with this?
Thanks in advance!
How could one choose between the two methods?, Which of the two would be more preferable and under what circumstances?
CSR and financial performance of banks
I am now engaging in a yield curve estimation project.
I met very strange market data and I would like to ask how I should understand this paradox to practitioners and/or researchers in R.G. who have experiences with the derivative valuation. If there are other proper forums to post this theme, please teach me those forums’ names.
The problem is an inconsistency between 6month Libor, 12-month Libor and 1year swap rate.
I got the following rate as on 2/23/2017 from Bromberg.
USD 6-month Libor USD: 1.36239%
USD 12-month Libor: 1.74428%
USD 1-year swap rate: 1.2965%
Apparently, 6 month Libor and 12-month Libor higher than 1-year swap rate mean an arbitrage opportunity and it can be verified as follows.
We can get the discount rates with 6-month maturity and 12-month maturity from 6-month Libor and 12-month Libor as follows.
6 month discount rate=1/(1+0.5*1.36239/100)=0.993234139
12 month discount rate=1/(1+1.74428/100)=0.982856235
Applying these to 1-year swap cash flow leads to its present value as
0.5*1.2965/100*0.993234139+(1+0.5*1.2965/100)*0.982856235=0.995666241.
The present value should be 1 to satisfy the no-arbitrage condition.
The difference between 1 and 0.995666241 is not negligible since implied 12-month Libor consistent with the swap present value 1 is 1.299427122% which is very lower than the actual rate.
The explanation such as a swap contract is a bilateral contract cancelling out counterparties' credit risks each other partially and the Libor deposit is one-sided transaction seems inappropriate to me.
Suppose a bank A enters into 1-year swap agreement as a fix-payer with a bank B and at the same time bank A borrow a 6-month loan and make it 12-month deposit with another bank C.
6 month later, bank A will pass through 6-month Libor from bank B to bank C and roll over the loan with 6 moths Libor.
12 month later, bank A will pass through 6-month Libor again and redemptions of the initial 12-month deposit and 6 months later bellowing cancel out.
Receipt 12-month Libor from bank C and payment the lower fix rate to bank B shows an arbitrage opportunity.
Best regards
hi everyone
This is a rather simple stata analysis exercise that I am currently doing.
I am trying to do a cointegration tests using gold price, us CPI and VIX index. I wonder if the method I used is appropriate, if not, could anyone enlighten me with other better tests?
I firstly convert us CPI and gold price into stationary data by taking first difference, after testing them using ADF.
The I use the follwing code
Ardl gold uscpi, ec
Ardl gold VIX, ec
Thanks in advance.
Could anyone help me understand the variables of interest and volatility in Hemler and Longstaff (1991) general equilibrium stock index pricing model(theory is attached)?
I am doing the empirical test on this model using CSI300 index future. Some sample data have negative regression coefficient of interest which contradict to the theory.
Since the cost of carry model could be embedded into the empirical test (see P301), I think the interest should be annualized interest.
The regression data series I used are: the interest is annualized Shibor interest rate; the volatility is annualized volatility variance calculated from historical 30 days.
Please could anyone familiar with this model/theory kindly shed light on it?
