- John King'athia Karuitha added an answer:What are some of the factors that affect the adoption of risk management by smallholder farmers?
In smallholder agriculture, risk management is desirable, just like in any other business venture. Despite efforts to design schemes like agricultural insurance and other micro-insurance schemes, uptake is still low. This begs the questions:
1. What makes smallholder farmers resist formal risk management approaches- insurance, capital markets?
2. Are there cases in any country where formal risk management approaches have managed to achieve even limited success among-st smallholder farmers?
3. What informal risk management mechanisms do smallholder farmers adopt?
4. Are there better ways to design risk management mechanisms to attract smallholder farmers?
Responses are welcome
Thanks alll for the useful responseFollowing
- Jacek Bednarz added an answer:What's the meaning of detecting the cross-correlation of spot exchange rate and forward exchange rate?
I have read several papers on the cross-correlation between spot exchange rate and forward exchange rate, but find little economic meaning of that relationship.
In my opinion,export or import-company can avoid exchange rate risk by hedging with forward contracts. The central bank needs to adjust the monetary policy based on the changing relationship over time.
Any theory to analyze the meaning of spot and forward exchange rate?or any papers?
The 4th chapter from "Economics of Exchange Rates" by Sarno & Taylor could be an interesting starting point.Following
- David Fields added an answer:Is the Fed interest rate as a measure of the liquidity crisis is not appropriate?
I am using the fed rate as a proxy for Liquidity crises in US, however I had a comment that the interest rates can be used for general monetary policy purposes. So, I have to provide evidence that the Fed interest rates are not used in us from 1954 to 2011 for general monetary policy purposes, then this quantity cannot be used as a measure of liquidity crisis. Is there any thing in the literature related to this issue. what is the best proxy for liquidity crisis ( credit crunch) ?
Dear Mohammed, I am attaching my RIPE paper.Following
- David Oluseun Olayungbo added an answer:In the case of chinese micro data, how does Hedging financial risks increase companies value?
Need Micro Data of the Volume of Derivative Instruments used by Chinese companies for hedging exchange rate and interest rate exposure.
Right now I look at every annual report but unfortunately some reports are only in Chinese. Is there any data already collected for the years 2010-2013 or any faster way to collect the data?
Hedging can reduce the financial risks of a company' firm value if the company has taken up investment position or arrangement to offset unforeseen financial risk such as unexpected changes in interest rates, exchange rates and other prices that can reduce the firm value. Therefore, once a firm has hedged itself of these risks then such firm value will be stable and may even increase while other firms that have not taken this step will have a reduction in their value.Following
- Makram El-Shagi added an answer:How should one choose forecasting horizon in VAR?
How can I choose the forecast horizon during H-Step ahead forecasting in reduced VAR model using quarterly data set?
Generally the forecast horizon is not a technical question, but determined by your need to make a forecast of a certain forecast However, as Abel perfectly correctly pointed out, typically VARs only perform well for short and medium term forecasts, while structural models often have better performance at longer horizons. How to decide whether or not to use a VAR in your case, depends on whether you have alternatives or not.
If you have alternative models (such as a structural model, or an indicator based regression), you can test the relative performance compared to the VAR. The most simple test to do so is the Diebold-Mariano test (Diebold/Marianom 1995 in the JBES). A new(2013) Working paper by Diebold also summarizes more recent developments if you need something more sophisticated.
If you do not have an alternative models, you can use the same tests mentioned above to compare your VAR to a the forecast provided by the unconditional mean of the variable (or in the case of a trended variable just a projection of the trend). While those are technically "models" they don't include any information on the dynamics. As long as you VAR is significantly better than those, it definitely makes sense to use your VAR in forecasting.
- Sahithi Chipati asked a question:What are the various risks in complex construction projects and how does Integrated Project Delivery approach help in mitigating these risks?
There are various technological, organizational, legal risks that could be encountered in complex construction projects, IPD however seems to have an approach which can share risks and turn them into benefits for the projects. If that is the case, what would be the risks in complex construction projects that act as drivers for an IPD approach ?Following
- Yuri Biondi added an answer:What are the various ways of stock or securities markets behavior?
When answering the question, I also welcome investors behavior.Following
- Chris Kelly added an answer:How can we calculate Market Value of Equity and Book Value of Total Debt from balance sheet?
Please clarify my confusion on Altman ' Z score model' X4=Market Value of Equity/Book Value of Total Debt. I want to know that term market value of equity is equal to shareholder' fund or not.
Second thing is that how can we calculate Book value of total debt. Is Book value of total debt come under the head of "Borrowings/Liabilities".
Please clarify me on these two Altman' Terminologies
Just to clarify, I agree with Paul's explanation on market value of equity. But I thought in your question you wanted to know the book value of total DEBT, not the book value of equity. In your question you were correct to identify that the book value of total debt is the value given to borrowings in the liabilities section of the balance sheet.
Bear in mind Altman's z-score is based on historic empirical data relationships that seem to predict impending insolvency, so the formulas may seem a bit arbitrary and are intended to be interpreted literally. Those data relationships may not hold true today. The data may be a little out of date now especially in light of changes to accounting standards (eg IASB) and market pricing following the Global FInancial Crisis.Following
- Violeta Rodríguez del Villar added an answer:How do you use package GLLMgibbs in R?I need an example for this package
BUGS seems easier and here is a free version: http://www.openbugs.net/w/FrontPageFollowing
- Roland Iosif Moraru added an answer:What do you understand by Quantitative Risk Assessment?A dictionary definition says: "Quantitative Risk Assessment is Use of measurable, objective data to determine asset value, probability of loss, and associated risk(s)".
Nevertheless in various fields (Environment, Finance, Occupational Health and Safety etc) and in different countries the meaning attributed to QRA differs sometimes significantly. Being highly interested in the field I invite you to brainstorming around this question. Many professionals, researchers and experts should be interested and involved. Thank you.
I appreciate your contribution, particularly the reference to project evaluation.Following
- Abdul AL added an answer:What factors contribute to SMEs in emerging markets to adopt Innovation practices?
Key Factors that are internal to firm or external to firm
Do you think international franchising could contribute to the survival of SMEs in the emerging market Such as the Gulf countries if you compare to south AfricaFollowing
- Oscar Rangel Venzor added an answer:Does media coverage of financial news affect stock market movements ?
media coverage and analyzing news affect people reaction to and new news.
Media coverage of financial news affect stock market movements, because add information to expectations of investors and common people. The impact depends no the scope of media.Following
- Victor Dragota added an answer:What do you think of the "health" of the Capital Asset Pricing Model?
The CAPM is based on a robust theoretical framework, but empirically demonstrated weakness. The beta does not seem to be the only factor that can explain the risk-return relationship. Do you really think that the CAPM is dead?
I think that this paper provides some interesting viewpoints regarding this issue:
David Nawrocki, Fred Viole- "Behavioral finance in financial market theory, utility theory, portfolio theory and the necessary statistics: A review", Journal of Behavioral and Experimental Finance, 2 (2014) 10–17.Following
- L. Spadafora added an answer:How can I manage too much volatility? What are the pricing implications?
We provide some insight and concerns about cross asset portfolio diversification in relation with increased market volatility. While generally across asset diversification reduces volatility, we need to re-calibrate models (reassign correlation values). What should we consider the general correlation between asset classes?
I am not sure that this paper will answer your question, maybe it could give you some insight. It explains the differences between implied and realized volatility and their effect on P&L and pricing.Following
- Muhammad Jam e Kausar Ali Asghar added an answer:If alpha should be zero (based on CAPM), would a FAMA-FRENCH 3 factor model explain your observations above more effectively?Alpha is a risk-adjusted measure of active return on an investment.
The FF 3 factor model is emerging 2 classes of stock with CAPM to reflect a portfolio's theory.
r - Rf = beta3 x ( Km - Rf ) + bs x SMB + bv x HML + alpha
Alpha Coefficient can show that in an efficient market, the expected value of the alpha coefficient is zero. Therefore the alpha coefficient indicates how an investment has performed after accounting for the risk it involved:
Alpha_i < 0 : the investment has earned too little for its risk (or, was too risky for the return)
Alpha_i = 0 : the investment has earned a return adequate for the risk taken
Alpha_i > 0 : the investment has a return in excess of the reward for the assumed risk
You need to rephrase your questionsFollowing
- Mark Young added an answer:Risk measurement in banking - do you know any examples of classification for risk measurement?I am looking for the classification of risk measurement in banking (credit, liquidity, market, operational). I have some ideas, but maybe I am reinventing the wheel. For example, you can measure risk directly (eg. probabilities) or indirectly (LTV or maturity mismatch). Any suggestions?
I'd encourage you to start with the BIS definition and also look at Marrison book too.Following
- Andriansyah Andriansyah added an answer:Why are Chinese investors afraid of IPO?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.
New issues supply new shares to the secondary market, but if the new listed firms are dominated by state-owned enterprises which their shares cannot be free traded, the number of free-float shares are still limited. Chinese government may time the market when deciding to privatize the SOEs, I guess Investors then may see this as a signal that the market has been overvalued.Following
- Amit Mittal added an answer:Global bank models have resiliently adapted to the new capital regimes. Can banks now support the global ecosystem with fresh credit in NA and Asia?
Is it fair to assume we have now crossed the rubicon and things are more tune with steady progress now and for another decade or more to come? While AIG and GM seem to need more help in the USA, banks have been building new markets. European banks of course seem to be hit because of the lack of viable collateral and fast closing avenues of fresh equity. Also maybe the use of Contingent Capital is not fair and Europe is actually headed for more trouble within banking?
I agree it could be treated as an ephemeral(temporary)/cyclical problem in Europe but for there seems to be no part of the cycle with positive fractions of growth. Similarily in the US how would one peg a cyclical recession into a largely event driven fault in 2008?Following
- Bo Jellesmark Thorsen added an answer:Does anyone have experience with research in infrastructure finance risks?I am undertaking a research on risk in Infrastructure project finance where I have ranked questions developed for my questionnaire. My interest is to see which risks are more severe within each of the nine categories that I have profiled (ie each category has 5 sub risks). What would be the best statistical outputs to analyse this data? Besides wanting to know which risks are more severe within each risk category, I would be interested in knowing the differences in the responses between the public and private sector. Your thoughts?
Following up on Pauls second point about the ability/willingness of officials to answer in a usefull way, I think that you would be well adviced to study Professor Bent Flybjergs work on risks and failures in large infrastructure projects. Flyvbjerg is professor at Oxford these days. The problem is, that one reason why risks appear large is that they are often ignored (and hence not planned for/adapted to) in the initial stages of the decision making. Flyvbjergs work is not as much quantitatve as an anthropological/sociological study of a phenomenon, but if you could take his finding sinto account somehow, and perhaps elicit information of value to that discussion, that could improve your contribution to the field.Following
- Paul Louangrath added an answer:Are there any empirical models incorporating risks while re-issuing a debt offering?
Many companies extend their debt maturities by re-issuing debt. Proceeds of the new debt are used to pay off existing debt. More and more companies might be tempted to follow this trend.
However, this re-issuing has certain risks involved. Are there any research papers which add some color on the above topic?
This practice is done at all level: individual, corporate, and government. refinancing is a common practice.
INDIVIDUAL CREDIT CONSOLIDATION: Individuals with credit car debts with several existing credit cards are offered with one balloon card issuer to pay off the existing cards. For example, the consumer has 5 cards with existing debts at various interest rates. Another credit card company would offer a credit card with cash advance that could use to pay off the 5 prior cards. Thus, a debt consolidation is accomplished. Now the consumer-debtor pays the new credit company in on payment with one interest charge. Similar practice is used in the mortgage industry in the US. When new interest is lower that what is charged on existing loan, the mortgagee would apply fr a new loan with lower interest rate to pay off the existing loan---of course the mortgagee starts the new loan with a new loan period, i.e. 20, 30 years. At the individual level, both secured and unsecured loans are used.
CORPORATION: similar credit or debt consolidation is also used by corporation. A good example for credit-refinancing is Bonds or notes may be retired early or paid off when company gets a new loan to pay off prior loans with higher interest rate. Unlike individuals' unsecured refinancing loans, with the exception of junk bonds, some corporate loans are secured by its accounts receivable, i.e. factoring or advance cash out of letter of credit in the so-called packing money. If the corporation is publicly traded, the firm may have more options which makes its refinancing more flexible.
GOVERNMENT: The US government bond sales is a good example of how large economy could use its sovereign credit to borrow more money on top of its existing debt. In fact, the debt of the US government, with exception of those years that the budget is balanced, may spend on credit. Despite some criticism or doubts, the US government's credit standing remains AA+ as of July 2014. For many investors, US government bond remains a safe heaven. Therefore, asking for additional loans (selling more bonds) will always find willing buyer (creditors).
MODEL ON RISK ASSESSMENT FOR CREDIT EXTENSION: Generally, this is a proprietary knowledge. Each credit/finance company has their own model for assessing credit risk. However, Fitch, for instance, makes it known to the public what factor its uses to assess sovereign risk.
SEE article by Baily and Elliott on financial crisis of 2008/2009 for discussions. The article by Calomiris about the subprime financial crisis of the US may shed some lights on troubles from easy credit extension.Following
- Natasa Golo added an answer:Does anyone know about the application of social network analysis in the analysis of contagion in stock markets?Is there any kinds of quantitative analysis?
I'd recommend you to read book Socio-Finance of Andersen and Nowak:
- Kotreshwar Gowdara added an answer:How can rainfall risk be securitized?
Monsoon (rainfall ) derivatives to Indian subcontinent ( like temperature derivatives in the West ) could play a crucial role in creation of weather risk markets for hedging rainfall risk by a wide range of stakeholders and simultaneously help tap the vast potential for monsoon speculation tendency .
Thank you for answer to my question.It is precisely about creation of rainfall futures and options on par with temperature futures and optionsFollowing
- Peter Sandman added an answer:How can one capture "near miss events" in a risk system?
I am trying to formulate decision rules for capturing and segregating near miss catastrophic events in a risk management system. I would like suggestions on how to segregate near miss into robust system or intervention driven .
How can one design a mechanism to analyse this? Is there any research work on this?
A broader issue is how to interpret near-miss events.
If you know (or think you know) what percentage of potentially dangerous behaviors end in a near-miss and what percentage end in a serious accident, then an an increase in the number of near-misses is a warning: the more near-misses, the higher the probability of a serious accident. "We almost exploded the tank!"
But if you don't know that, then a near-miss can be seen as evidence that a serious accident is unlikely. "We've 'almost exploded the tank' hundreds of times and yet the tank has never exploded. Defense-in-depth must be working. Those 'near-misses' aren't so near after all!"
This is a fundamental problem in talking to people about near-misses. What is intended by the communicator as a warning can easily be seen as reassuring by the audience.Following
- Amit Mittal added an answer:How do I carry out stress testing in a medium-sized mortgage banking entity?Stress testing is a process for evaluating the potential impact of a specific event and/or movement in a set of financial variables on company balance sheets. In view of this, I would appreciate it if you could avail me practical insight into this exercise. I would also appreciate it if you could avail me any spreadsheet model with on same.
you can easily construct your own using any sensitivity analysis template. consider a weak and a strong economic scenario with at least a20-50% impact on prices/yields on either side and compute capital requirementsFollowing
- S. S. Zhu added an answer:What is the best software for performing financial portfolio optimization?Which software programs are best at performing optimization of investment portfolios? What makes the programs preferable? Please provide pros and cons if applicable.
- Felix Lopez-Iturriaga added an answer:Which methodologies or models can be applied to measure the quality of accounting information through the disclosure of financial statements?The quality shown in the financial statements accounting information (the conceptual framework of IFRS and FASB, as well as by standard-setting) is treated based on the relevance and faithful representation of the same, keeping the economic substance of the transactions summarized. To declare that it meets the IFRS or national GAAP is not enough to measure quality. Several studies conducted have focused on measuring the amount of disclosure made in accordance with the standards set and asked how we can measure the quality of mandatory disclosure and also generate inferences or proxies for voluntary disclosure, such as "Theories for Disclosure" (Verrecchia) and "Relevance of Accounting Information" (Barth et al).
From my point of view, this paper is one of the best and most comprehensive approaches to the quality or reported earnings
Dechow, P., Ge, W. and Schrand, C. 2010. Understanding earnings quality: A review of the proxies, their determinants and their consequences. Journal of Accounting and Economics, 50, 344-401.Following
- Paulo Pereira Silva added an answer:How do you measure the relationship between audit fee and stock market risk (unsystematic risk)?
How do you measure the relationship between audit fee and stock market risk (unsystematic risk)?
I aggree with Erik in that there is simultaneity between the variables.
You should first scale audit fees as a percentage of the assets or enterprise value, because audit fees depend on the size of the firm. After that, you may evaluate whether there is significant time series variation of audit fees to justify a pooled data analysis.
If you are trying to see if audit fees are explained by idiosyncratic volatility, you should bear in mind that idiosyncratic risk proxies are noisy in the sence that it captures specific information, information risk and microstructure noise if measured at high frequency data. So there are lots of controls to account for.Following
- Montserrat Guillen added an answer:Can anyone help with the scaling the time horizon for VAR (Value At Risk)?I would like to compute the value at risk for a portfolio of several financial instruments (their returns are not normally distributed). My underlying for all of them is the oil price, with normally distributed returns with mean of 0.
My problem is that I want to compute the VAR for several days from now (10,15, maybe even 30). The common idea says that if the return is normally distributed with mean of 0 you can scale up the VAR by multiplying it with SQRT(Time). Obviously I cannot do that for the entire portfolio VAR.
Am I allowed to compute VAR for oil price, scale it up by SQRT(Time) and then introduce that (my 5th quantile of oil) into the portfolio valuation and compute the portfolio once?
I sometimes go back to the original data and take the time gap I want to consider for VaR calculation. This is handy if you have enough data.Following
- Marcus Martin added an answer:What is the best risk measurement tools in banks regarding financial risks and how are they calculated?Risk measurement practices.
According to the current discussions on the so-called "Trading Book Review" by the Basel Committee on Banking Supervision, Value-at-Risk is to be replaced by expected shortfall (or tail conditional expectation) which is also used in internal models for measuring credit risk. Hence, I would suggest to also have a look on this coherent risk measure (cf., e.g., McNeil, A., Frey, R., and Embrechts, P. (2005). Quantitative Risk Management: Concepts, Techniques and Tools. Princeton University Press, Princeton).Following
About Financial Risk Management
This group aims to be a link between researchers interested by financial risk management and modelisation.