Hedge fund industry, one of the fastest growing sectors in the financial service industry, has been attracting high net-worth and major institutional investors such as large pension funds and university endowments due to its distinctive characteristics. With a rapid rate of growth, the hedge fund industry also attracts attention of academics. They have analysed the performance of hedge funds from different perspectives and implied the necessity of further researches on hedge funds’ capital adequacy.
In 2000, Fung and Hsieh used a mean-variance approach to study hedge fund exposures in some major market events. They analysed hedge fund performance during turbulent market times. But due to limitations of their research methodology, they
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They showed that under the assumption of normal portfolio returns, reward-to-VaR ratio and Sharpe ratio give the same ranking of portfolio performance. While under non-normality, the rankings are different. Agarwal (2004) reached important conclusions that some hedge fund strategies have payoffs similar to “a short position in a put option on the market index”, and a traditional mean-variance framework tends to ignore this risk. Using mean-conditional VaR framework, Agarwal examined the extent to which the mean-variance approach underestimates the left tail risk.
Though the analysis on risk characteristics of hedge funds has a huge impact on hedge fund managers and market participants, very few studies related to capital adequacy of hedge funds have been done. Gupta and Liang’s (2005) paper is “the first one to address capital adequacy and risk estimation issues in the entire hedge fund industry”. They used the VaR approach to study capital requirements for almost 1500 hedge funds and found that only a small amount of funds are undercapitalized as of March 2003. Del Brio, Monra-Valencia and Perote (2014) further compared the performance of risk measures using three approaches: parametric distributions, semi-nonparametric methodologies and the extreme value theory approach. They showed that the extreme value theory approach accurately forecast hedge fund VaR.
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This document is authorized for use only by Yen Ting Chen in FInancial Markets and Institutions taught by Nawal Ahmed Boston University from September 2014 to December 2014.
Advisors and investors would do well to pay as much attention to the expected volatility of any portfolio or investment as they do to anticipated returns. Moreover, all things being equal, a new investment should only be added to a portfolio when it either reduces the expected risk for a targeted level of returns, or when it boosts expected portfolio returns without adding additional risk, as measured by the expected standard deviation of those returns. Lesson 2: Don’t assume bonds or international stocks offer adequate portfolio diversification. As the world’s financial markets become more closely correlated, bonds and foreign stocks may not provide adequate portfolio diversification. Instead, advisors may want to recommend that suitable investors add modest exposure to nontraditional investments such as hedge funds, private equity and real assets. Such exposure may bolster portfolio returns, while reducing overall risk, depending on how it is structured. Lesson 3: Be disciplined in adhering to asset allocation targets. The long-term benefits of portfolio diversification will only be realized if investors are disciplined in adhering to asset allocation guidelines. For this reason, it is recommended that advisors regularly revisit portfolio allocations and rebalance
Five years ago, who’d have thought Donald Trump could become the most powerful person in the world? Truth may be stranger than fiction, but if there’s any lesson here, it’s that too many people prefer fiction to the truth. Conspiracy theories have gripped the public imagination to such an extent that an armchair crank stands at the White House lawn.
Established in January 1999, Pine Street Capital (PSC) was a market-neutral hedge fund that specialized in the technology field, facing market risk and trying to decide whether and which way to use in order to hedge equity market risk. They choose technology sector because the partners of PSC felt that they have enough ability to evaluate this sector and specially be good at picking out-performing stock. Short-selling of NASDAQ and options hedging strategy are the two major hedging choices for PSC. Either strategy has its own advantages in different economic periods and conditions. The fund has just through one of the most volatile periods in NASDAQ 's history, and it was trying to decide whether it should continue its risk management
The success of the model is attributed to Yale’s ability to combine both quantitative analysis (mean-variance analysis) with market judgments to structure its portfolio. In addition, Yale also uses statistical analysis to actively test their models with factors affecting the market, therefore understanding the sensitivity of their portfolio in response to various market changes. Yale also follows and forecasts the cash flow of private equity and real assets in its portfolio to decide the need for hedging.
Hedge funds are investment vehicles that explicitly pursue absolute returns on their underlying investments. Hedge Fund incorporate to any absolute return fund investing within the financial markets (stocks, bonds, commodities, currencies, derivatives, etc) and/or applying non-traditional portfolio management techniques including, but not restricted to, shorting, leveraging, arbitrage, swaps, etc. Hedge funds can invest in any number of strategies. Hedge fund managers typically invest money of their own in the fund they manage, which serves to align their interests with
When we measure risk per unit of return, Collections, with its low expected return, becomes the most risky stock. The CV is a better measure of an asset’s stand-alone risk than because CV considers both the expected value and the dispersion of a distribution—a security with a low expected return and a low standard deviation could have a higher chance of a loss than one with a high but a high .
All the symptoms that are associated with end of life care are of great concern. They all in one way or another affect the quality of life of the patient undergoing that journey. I would have to say that to me dyspnea would be of the most bothersome. I think of the instances where perhaps you may be choking on food, having an asthma attack, or any other situation which can lead you to be short of breath for a short period of time and reflect back on how uncomfortable and anxious you feel at that moment and apply it to attempt to form a picture of how the patient may feel undergoing this problem for an extended amount of time. Not only does being short of breath increase anxiety, but it also affects so many other aspects, such as not being able
The extracted data used includes monthly returns from January 1972 to July 2011. The assets are selected so that the portfolio contains the largest, most liquid, and most tradable assets. The choice of such a variety of assets across several markets was used in order to generate a large cross sectional dispersion in average return. It helped to reveal new factor exposure and define a general framework of the correlated value and momentum effects in various asset classes.
My experience at Villanova, both as a research fellow and a student was formative of my fascination with investments, hedge funds, and mutual funds. My original interest sparked while working with Dr. Velthuis and performing literature reviews on effects of corporate activism on stock prices, and size effects on hedge fund returns. Since then, classes in Portfolio Theory and
Michael jordan never giving up on basketball when he had miss the game winning point. Never giving up on something that you like to do. Michael Jordan always trying and trying to he had got what he had wanted. Never giving up is okay because you can learn from your meask that we make at something that we like do. For an example Michael Jordan like to play basketball but not all the time he did not make the game winning point so Michael Jordan watch the video and watch them over and over a gen in tell he had got it right on the corte.
Unlike mutual funds who only charge a management fee, much of the hedge funds compensation structure is linked to the fund performance. To avoid cases of managers charging the investor performance fees twice for the same returns, there is a prescription that managers should not charge any fee for a fund that has lost ground (Boyson, 2010). However, when the performance surpasses the previous performance level known as a ?high water mark?, the manager can charge the performance fees once again. Furthermore, many funds may also carry out a hurdle rate that managers must achieve before they charge any incentive fees (lecture notes).
If the assets exist to help meet a liability, the liability should be considered in the process; 3. Basing one’s decision solely on an asset allocation’s mean and variance is insufficient to base one’s decisions, in a world in which asset class returns are not normally distributed; and, 4. Most investors have multi-period objectives and the mean-variance framework is a single period model. These potential shortcomings are the likely reasons that practitioners have not fully embraced meanvariance optimization. For a number of practitioners, mean-variance optimization creates the illusion of quantitative sophistication; yet, in practice, asset allocations are developed using judgmental, ad hoc approaches. Recent advances significantly improve the quality of typical mean-variance optimizationbased asset allocations that should allow a far wider audience to realize the benefits of the Markowitz paradigm, or at least the intent of the paradigm. In this article, we focus on the first issue: the lack of diversification that can result from traditional meanvariance optimization. We begin with two examples in which traditional mean-variance optimization
In the past the market risk was hedged by shorting or short-selling representative shares of the market index In the past the market riskunder was The alternative hedged by shorting hedging the consideration was or shortselling representativehelp of put market risk with the shares of the market the market index options on index
As indicated by the case study S&P 500 index was use as a measure of the total return for the stock market. Our standard deviation of the total return was used as a one measure of the risk of an individual stock. Also betas for individual stocks are determined by simple linear regression. The variables were: total return for the stock as the dependent variable and independent variable is the total return for the stock. Since the descriptive statistics were a lot, only the necessary data was selected (below table.)