Thesis advisor: Ronnie Sadka / In the first essay of this dissertation, I study the impact that hedge fund manager connections have on investment ideas. I find that hedge fund managers who previously worked at the same prior hedge fund invest more similarly, hold more overlapping portfolios, and trade and overweight the same stocks relative to managers who do not share an employment connection. Overall, these results support theoretical prediction that networked managers share ideas that leads to price discovery for commonly held stocks. The second essay analyzes the role of ETFs in mutual fund families and is joint work with Caitlin Dannhauser. We study mutual fund and ETF twins - index funds from the same family that follow the same benchmark. We find that mutual fund twins have lower overall tax burdens while ETF twins have higher long-term yields and unrealized capital gains, but are compensated with lower expense ratios. Fund families benefit because twin offerings generate higher flows than their non-twin peers. These results support previous research that mutual fund families use diversification and subsidization to benefit the overall family. In the third essay, I study the use of latent factors in explaining hedge fund returns. Using an alternative latent factor estimator, asymptotic principal components (APC), I find explains more of the common variation of hedge fund returns on average and does so with greater efficiency than that found in the literature. I also identify an increase in the common variation across hedge fund excess return in the time-series via the extracted latent factors. My results suggest an impetus for future researchers to employ APC factors when characterizing hedge fund performance. / Thesis (PhD) — Boston College, 2017. / Submitted to: Boston College. Carroll School of Management. / Discipline: Finance.

Thesis submitted in fulfilment of the requirements for the Masters in Finance and Investments in the Faculty of Commerce, Law and Management Wits Business School At the University of Witwatersrand / The study focuses on determining the driving factors of the performance of different hedge fund strategies in the South African industry. This is done through the application of an augmented capital asset pricing model. The model is predicated on the original (Sharpe, 1964) and (Lintner, 1965) Capital Asset Pricing Model. The researcher uses the excess market returns and the South African Volatility index as independent variables in the explanation of hedge fund returns at strategy and portfolio level. Through the analysis, the researcher finds that the excess market returns and the South African Volatility Index characterize the hedge fund expected returns for some of the strategies using OLS and GMM techniques. The second section uses a system of seemingly unrelated regressions for both the OLS and GMM techniques to determine if the two explanatory variables are priced into the different strategies; this indeed is shown to be the case for some of the strategies examined in the analysis. / MT2017

This thesis applies entropy as a model independent measure to address research questions concerning the dynamics of various financial time series. The thesis consists of three main studies as presented in chapters 3, 4 and 5. Chapters 3 and 4 apply an entropy measure to conduct a bivariate analysis of drawdowns and drawups in foreign exchange rates. Chapter 5 investigates the dynamics of investment strategies of hedge funds using entropy of realised volatility in a conditioning model. In all three studies, methods from information theory are applied in novel ways to financial time series. As Information Theory and its central concept of entropy are not widely used in the economic sciences, a methodology chapter was therefore included in chapter 2 that gives an overview on the theoretical background and statistical features of the entropy measures used in the three main studies. In the first two studies the focus is on mutual information and transfer entropy. Both measures are used to identify dependencies between two exchange rates. The chosen measures generalise, in a well defined manner, correlation and Granger causality. A different entropy measure, the approximate entropy, is used in the third study to analyse the serial structure of S&P realised volatility. The study of drawdowns and drawups has so far been concentrated on their uni- variate characteristics. Encoding the drawdown information of a time series into a time series of discrete values, Chapter 3 uses entropy measures to analyse the correlation and cross correlations of drawdowns and drawups. The method to encode the drawdown information is explained and applied to daily and hourly EUR/USD and GBP/USD exchange rates from 2001 to 2012. For the daily series, we find evidence of dependence among the largest draws (i.e. 5% and 95% quantiles), but it is not as strong as the correlation between the daily returns of the same pair of FX rates. There is also dependence between lead/lagged values of these draws. Similar and stronger findings were found among the hourly data. We further use transfer entropy to examine the spill over and lead-lag information flow between drawup/drawdown of the two exchange rates. Such information flow is indeed detectable in both daily and hourly data. The amount of information transferred is considerably higher for the hourly than the daily data. Both daily and hourly series show clear evidence of information flowing from EUR/USD to GBP/USD and, slightly stronger, in the reverse direction. Robustness tests, using effective transfer entropy, show that the information measured is not due to noise. Chapter 4 uses state space models of volatility to investigate volatility spill overs between exchange rates. Our use of entropy related measures in the investigation of dependencies of two state space series is novel. A set of five daily exchange rates from emerging and developed economies against the dollar over the period 1999 to 2012 is used. We find that among the currency pairs, the co-movement of EUR/USD and CHF/USD volatility states show the strongest observed relationship. With the use of transfer entropy, we find evidence for information flows between the volatility state series of AUD, CAD and BRL.Chapter 5 uses the entropy of S&P realised volatility in detecting changes of volatility regime in order to re-examine the theme of market volatility timing of hedge funds. A one-factor model is used, conditioned on information about the entropy of market volatility, to measure the dynamic of hedge funds equity exposure. On a cross section of around 2500 hedge funds with a focus on the US equity markets we find that, over the period from 2000 to 2014, hedge funds adjust their exposure dynamically in response to changes in volatility regime. This adds to the literature on the volatility timing behaviour of hedge fund manager, but using entropy as a model independent measure of volatility regime. Finally, chapter 6 summarises and concludes with some suggestions for future research.

Background Out of the different fund categories hedge funds have had the highest development in Sweden since 1994. Swedish investors’ interest in hedge funds doubled from 2005 to 2006. Hedge funds are said to be an investment with a low risk and not being dependent upon business cycle movements. Historically there have been high initial investments, most often over 100 000 SEK, required to invest in hedge funds. This has started to shift towards lower initial investments. This is a reason why hedge funds start to become interesting to private investors and not only to institutional, and wealthy private investors. Purpose The purpose of this thesis is to explore what different investment strategies and sub strategies that are used within Swedish hedge funds. Also specific risks and risk measurements, depending on investment strategy, will be investigated and compared. Method In order to meet the purpose of this thesis a qualitative approach has been used. A questionnaire, with both closed and open-end questions, was sent to 13 hedge fund managers operating in the Swedish hedge fund market. Afterwards, four semi-structured interviews were conducted. Two of the interviewees are hedge fund managers who also answered the questionnaire. The others were with a person who is a hedge fund analyst and a person working at the Swedish Financial Supervisory Authority (SFSA). Conclusion Out of the five different investment strategies investigated the two most widely used in Swedish hedge funds are funds of hedge funds and equity hedge. The sub strategies that are used within the Swedish hedge fund market are those with a focus on low risk. Within Swedish hedge funds there are some specific risks and risk measurements that are useful. Sharpe ratio is best used to compare similar funds. Standard deviation is useful to evaluate each specific hedge fund. How much leverage capital that can be used is decided by SFSA. Yet, the risks depend on the hedge fund manager rather than the investment strategy used. This, due to the fact that the hedge fund managers have an own interest in the hedge fund.

<p>Background</p><p>Out of the different fund categories hedge funds have had the highest development in Sweden since 1994. Swedish investors’ interest in hedge funds doubled from 2005 to 2006. Hedge funds are said to be an investment with a low risk and not being dependent upon business cycle movements. Historically there have been high initial investments, most often over 100 000 SEK, required to invest in hedge funds. This has started to shift towards lower initial investments. This is a reason why hedge funds start to become interesting to private investors and not only to institutional, and wealthy private investors.</p><p>Purpose</p><p>The purpose of this thesis is to explore what different investment strategies and sub strategies that are used within Swedish hedge funds. Also specific risks and risk measurements, depending on investment strategy, will be investigated and compared.</p><p>Method</p><p>In order to meet the purpose of this thesis a qualitative approach has been used. A questionnaire, with both closed and open-end questions, was sent to 13 hedge fund managers operating in the Swedish hedge fund market. Afterwards, four semi-structured interviews were conducted. Two of the interviewees are hedge fund managers who also answered the questionnaire. The others were with a person who is a hedge fund analyst and a person working at the Swedish Financial Supervisory Authority (SFSA).</p><p>Conclusion</p><p>Out of the five different investment strategies investigated the two most widely used in Swedish hedge funds are funds of hedge funds and equity hedge. The sub strategies that are used within the Swedish hedge fund market are those with a focus on low risk. Within Swedish hedge funds there are some specific risks and risk measurements that are useful. Sharpe ratio is best used to compare similar funds. Standard deviation is useful to evaluate each specific hedge fund. How much leverage capital that can be used is decided by SFSA. Yet, the risks depend on the hedge fund manager rather than the investment strategy used. This, due to the fact that the hedge fund managers have an own interest in the hedge fund.</p>

<p>Background:</p><p>Hedge funds have its origin in 1949 when Alfred W Jones constructed a fund that used a new technique where he took long positions and hedged them with short positions. This fund got a large publicity when it was proved that it had outperformed any other fund by 87 percent during a ten year period. Though, it was not until the early 1990’s hedge funds became popular for the general public. The goal for hedge funds in general is to yield an absolute return and there are many different strategies for reaching this goal. This has lead to the following three research questions:</p><p>Have Hedge funds been able to reach its goal for an absolute return in both bullish and bearish times?</p><p>Which strategy has shown the best performance in markets on the rise and in declining markets and is it possible to place the different strategies in order of precedence?</p><p>Is it possible to come up with a guideline for investing in hedge funds on the Swedish market?</p><p>Purpose:</p><p>The purpose with this thesis is to study the returns on a large number of hedge funds in the American fund market based upon their investment strategy, both when the market is gaining and when it is declining.</p><p>Method:</p><p>In this thesis we have investigated twelve different strategies in the American market. By using secondary data from HFRI’s hedge fund database we have conducted a quantitative research by calculating key statistics for the strategies. We have also plotted performance diagrams were the strategies are compared with S&P 500. To be able to answer our research questions we constructed a table containing a summary of the risk and return for the strategies in bullish and bearish market times.</p><p>Results:</p><p>Our research showed that there were two strategies that were capable of delivering an absolute return for the entire period. However, when looking deeper into the yearly returns we found that there were another eight strategies that presented a negative return for just one out of the total eleven years. To conclude the research we have placed the strategies in order of precedence that works as a guideline for investing in the Swedish market in bull and bear markets.</p>

Background: Hedge funds have its origin in 1949 when Alfred W Jones constructed a fund that used a new technique where he took long positions and hedged them with short positions. This fund got a large publicity when it was proved that it had outperformed any other fund by 87 percent during a ten year period. Though, it was not until the early 1990’s hedge funds became popular for the general public. The goal for hedge funds in general is to yield an absolute return and there are many different strategies for reaching this goal. This has lead to the following three research questions: Have Hedge funds been able to reach its goal for an absolute return in both bullish and bearish times? Which strategy has shown the best performance in markets on the rise and in declining markets and is it possible to place the different strategies in order of precedence? Is it possible to come up with a guideline for investing in hedge funds on the Swedish market? Purpose: The purpose with this thesis is to study the returns on a large number of hedge funds in the American fund market based upon their investment strategy, both when the market is gaining and when it is declining. Method: In this thesis we have investigated twelve different strategies in the American market. By using secondary data from HFRI’s hedge fund database we have conducted a quantitative research by calculating key statistics for the strategies. We have also plotted performance diagrams were the strategies are compared with S&amp;P 500. To be able to answer our research questions we constructed a table containing a summary of the risk and return for the strategies in bullish and bearish market times. Results: Our research showed that there were two strategies that were capable of delivering an absolute return for the entire period. However, when looking deeper into the yearly returns we found that there were another eight strategies that presented a negative return for just one out of the total eleven years. To conclude the research we have placed the strategies in order of precedence that works as a guideline for investing in the Swedish market in bull and bear markets.

This dissertation consists of three essays on investments. The first essay examines the incidence, determinants, and consequences of hedge fund share restriction changes. This paper finds that nearly one in five hedge funds change their share restrictions (e.g., lockup) over the period of 2007-2012. Share restriction changes are not random. Fund’s asset illiquidity, liquidity risk, and performance are related to share restriction changes. A hazard model indicates that funds who actively manage liquidity concerns live longer by adjusting share restrictions. The paper examines whether changes in share restrictions create an endogeneity bias in the share illiquidity premium (Aragon, 2007) and find that 18% of the premium can be explained by the dynamic nature of contract changes. The second essay examines why mutual funds appear to underperform hedge funds. Utilizing a unique panel of mutual fund contracts changes, this paper explores several possible channels, including: alternative investment practices (e.g., short sales and leverage), performance-based compensation, and the ability to restrict the funding risk of fund flows. This paper documents that over our sample period, mutual funds were more likely to shift their contracting environment closer to that of hedge funds. However, this shift provided no benefit to mutual funds and the paper finds no causal link between these contract changes and improvements in performance. Rather, this paper casts doubt on the binding nature of investment restrictions in the mutual fund industry. The third essay examines whether the 52-week high effect (George and Hwang, 2004) can be explained by risk factors. The paper finds that it is more consistent with investor underreaction caused by anchoring bias: the presumably more sophisticated institutional investors suffer less from this bias and buy (sell) stocks close to (far from) their 52-week highs. Further, the effect is mainly driven by investor underreaction to industry instead of firm-specific information. The 52-week high strategy works best among stocks whose values are more affected by industry factors. The 52-week high strategy based on industry measurement is more profitable than the one based on idiosyncratic measurement.

The day-of-the-week effect is a market anomaly that manifests as the cyclical behaviour of traders in the market. This market anomaly was first observed by M.F.M. Osborne (1959). The literature distinguishes between two types of cyclical effects in the market: the cyclical pattern of mean returns and the cyclical pattern of volatility in returns. This dissertation studies and reports on cyclical patterns in the South African market, seeking evidence of the existence of the day-of-the-week effect. In addition, the dissertation aims to investigate the implications of such an effect on hedge fund managers in South Africa. The phenomenon of cyclical volatility and mean returns patterns (day-of-the-week effect) in the South African All-share index returns are investigated by making use of four generalised heteroskedastic conditional autoregressive (GARCH) models. These were based on Nelson's (1991) Exponential GARCH (EGARCH) models. In order to account for the risk taken by investors in the market Engle et al's, (1987) 'in-Mean' (risk factor) effects were also incorporated into the model. To avoid the dummy variable trap, two different approaches were tested for viability in testing for the day-of- the-week effect. In the first approach, one day is omitted from the equation so as to avoid multi-colinearity in the model. The second approach allows for the restriction of the daily dummy variables where all the parameters of the daily dummy variables adds up to zero. This dissertation found evidence of a mean returns effect and a volatility effect (day-of-the- week effect) in South Africa's All-share index returns data (where Wednesdays have been omitted from the GARCH equations). This holds significant implications for hedge fund managers. as hedge funds are very sensitive to volatility patterns in the market, because of their leveraged trading activities. As a result of adverse price movements, hedge fund managers employ strict risk management processes and constantly rebalance their portfolios according to a mandate, to avoid incurring losses. This rebalancing typically involves the simultaneous opening of new positions and closing out of existing positions. Hedge fund managers run the risk of incurring losses should they rebalance their portfolios on days on which the volatility in market returns is high. This study proves the existence of the day-of-the-week effect in the South African market. These results are further confirmed by the evidence of the trading volumes of the JSE's All-share index data for the period of the study. The mean returns effect (high mean returns) and low volatility found on Thursdays, coincide with the evidence that trading volumes on the JSE on Thursdays are the highest of all the days of the week. The volatility effect on Fridays, (high volatility in returns) is similarly correlated with the evidence of the trading volumes found in the JSE's All-share index data for the period of the study. Accordingly. hedge fund managers would be advised to avoid rebalancing their portfolios on Fridays, which show evidence of high volatility patterns. Hedge fund managers are advised to rather rebalance their portfolios on Thursdays, which show evidence of high mean returns patterns, low volatility patterns and high liquidity. / Thesis (M.Com. (Risk Management))--North-West University, Potchefstroom Campus, 2006.

Hedge funds report performance information voluntarily. When they stop reporting they are transferred from the "live" pool of funds to the "defunct" pool. Consequently, liquidated funds constitute a subset of the defunct pool. I present models of hedge fund survival, attrition, and survivorship bias based on liquidation alone. This refines estimates of predictor variables in models of survival, leads to attrition rates of hedge funds to be roughly one half those previously thought, and produces larger estimates of survivorship bias. Survival models based on liquidated funds only, lead to an increase in survival time of 50 to 100 percent relative to survival based on all defunct funds. / In addition to refining estimates of survival time, it is useful to examine how the double fee structure of hedge funds and Commodity Trading Advisors (CTA) affects the incentives of their managers. Young CTAs are usually very small --- they hold few financial assets --- and may not meet their operating expenses with their management fee alone, so their incentive is to take on risk and post good returns. As they grow, their incentive to take on risk diminishes. CTAs in their fifth year diminish their volatility by 25 percent relative to their first year, and diminish returns by 70 percent. We find CTAs to behave more like indexers as they grow, concerned with more with capital preservation than asset management. / Operational risk is a major cause of hedge fund and CTA liquidation. In the banking industry, regulators have called upon institutions to develop models for measuring capital charge for operational losses, and to subject these models to stress testing. Losses are found to be inversely related to GDP growth, and positively related to unemployment. Since losses are thus cyclical, one way to stress test models is to calculate capital charge during good and bad economic regimes. We find loss distributions to have thicker tails during bad regimes. One implication is that banks will likely need to increase their capital charge when economic conditions deteriorate.