This thesis is a collection of three essays on hedge funds with contributions to the empirical understanding of their fees, and their voluntary disclosure of returns and assets under management, using a large consolidation of widely-employed publicly available hedge fund databases. First, time-series variation in reported fees is analysed using fund launches within hedge fund management companies, and conditioning fees at launch on fund family characteristics. Larger and better performing fund families launch high fee funds. Funds with high management fees at launch do not perform any differently from low fee funds, though funds with high incentive fees marginally outperform. An interval regression technique is proposed to overcome the discrete nature of reported fees. Secondly, the reliability of voluntary disclosures of financial information is analysed with a different measure of time-variation --- tracking changes to statements of historical performance recorded at different points in time. This uncovers evidence that historical returns are routinely revised. These revisions are not merely random or corrections of earlier mistakes; they are partly forecastable by fund characteristics. Moreover, funds that revise their performance histories, significantly and predictably underperform those that have never revised. Finally, the availability, and timing, of the selective disclosure of assets under management by funds is examined. More than a third of funds have asset records falling short of returns published. There is evidence of strategic disclosure by funds --- asset reporting drying up after times of fund stress, such as poor performance or outflows. Furthermore, investors should take heed of the greater propensity for shortfall funds to trigger fraud performance flags. These results suggest that unreliable disclosures: constitute a valuable source of information for current and potential investors; have implications for researchers; and, exhort market regulators to include assets, not just returns, in the debate around mandatory disclosure by financial institutions.

Prior studies have shown that returns exhibit certain predictable patterns that are inconsistent with the mainstream finance theory. In this thesis, I explore the behaviour of returns following three different types of market events with a particular focus on behavioural and non-behavioural factors that are attributable to the predictability of post-event returns. This thesis consists of three self-contained empirical essays. The first essay examines the information role of large S&P500 futures trades (commercial, noncommercial, dealers, asset managers, and hedge funds) in shaping future index returns. I find that commercial firms’ net trading level appears positively correlated with future index returns but the relationship is not stable across time. Based on more recent data, hedge funds appear superior in terms of access to information and/or trading ability but this advantage is only preserved at high frequency. Therefore, the current weekly Commitment of Traders (COT) report - published with a three-day delay - prevents timely public access to this type of information. Also, trading signals based on two of the more popular position-based sentiment indicators do not produce significant average returns. Overall, this calls into question the reliability of COT-based trading signals used by market professionals. The second essay studies the impacts of short sellers’ trading in shaping the behaviour of stock returns following extreme price moves using data from stock market in mainland China where short sales were initially prohibited. Extreme price moves occurring under non-prohibitive/prohibitive short-sale constraints are defined as shortable/non-shortable events. I find shortable events exhibit less post-event price drift/reversals than non-shortable ones, indicating an increase in the efficiency of stock prices reacting to unexpected events. Further analysis of short sellers’ trading activities on the price event days suggests that they are successful in trading informed price shocks but not in trading uninformed ones. Finally, I find evidence of massive short-covering that amplifies price shocks. The third essay investigates investors’ reaction to stock market rumours using data from China where listed companies are required to clarify rumours appearing in the media. I find that post-clarification abnormal returns exhibit continuation of pre-clarification momentum for rumours that are not denied by the listed companies and reversals for those which are denied. These results suggest that investors are unable to distinguish the reliable rumours from the false ones, as they under-react to rumours containing material information and over-react to those without. Further regression analyses on post-clarification abnormal returns using various subsamples of rumour events show that investors respond more efficiently to rumours when they are more informed about news topics or the rumoured companies.

In this thesis, I exploit accounting issues in the Chinese context with a particular focus on the role of government. The thesis consists of three empirical essays, examining how the state coordinates among the state-owned enterprises in executive compensation (essay 1), how the government regulates the dividend payouts of listed firms (essay 2) and how the delisting regulation influences the accounting choices of listed firms (essay 3).The first essay examines relative performance evaluation (RPE) in China. Previous studies of RPE for executive compensations in Western developed markets have produced mixed findings. This is partly because the dispersion of share ownership in Western capital markets does not closely correspond with the single-principal/multi-agent theoretical setting assumed by Holmstrom (1982). In this study, I exploit the existence of a large number of state-owned enterprises (SOEs) in China to examine RPE in a setting closer to the theoretical assumption. I find that SOEs are more likely to use RPE for executive compensation than non-SOEs. This is consistent with better cross-firm coordination in executive contracting among SOEs under a common “state” principal than among non-SOEs with dispersed principals similar to Western firms. Furthermore, I find a more pronounced RPE effect among SOEs that are larger or have poorer past performance. This implies that the state principal has greater incentives to monitor strategically important firms or those in distress. The second essay examines the market reaction to and earnings management choices around changes in the regulations requiring a higher minimum dividend payout in China to shed new light on the determinants of dividend payout policy. I find that the market reaction is more positive for firms that paid less than the new required minimum payout than for those that paid more than the new required minimum, consistent with agency cost explanations of dividend payout. In addition, I find that low dividend payers exhibit a greater tendency to manage their earnings downwards to comply with the earnings-based threshold, and investors can “see through” such earnings management behaviors. My findings support the view of DeAngelo, DeAngelo and Skinner (2009) that agency costs of free cash flow retention are an important part of the dividend payout story. The third essay explores the earnings-based delisting rule in China that provides particularly strong motivation to manage earnings above the loss/profit threshold. I identify two groups of firms that successfully avoid being ST-ed, i.e. firms with a one-year loss before returning to profit, and firms with consecutive small profits. I provide a comprehensive examination of earnings management in terms of accruals management, real earnings management and non-operating income, to investigate whether Chinese firms manage earnings either to avoid reporting a loss or to avoid reporting two consecutive losses. Though there are mixed results sensitive to the research design for earnings management pattern in the two groups of firms, this study provides insights into earnings management induced by a government regulation.

WHAT WAS DONE? This study researches the success of several value investment strategies in the stock markets of the United Kingdom and Germany based on nine firm fundamentals that are extracted from listed firms annual financial statements. In this regard, we first examine alternative forecast combination methods in a novel way to utilise fully the financial information at hand. Second, we examine the drivers of investment returns, particularly the role of information uncertainty, for which a new direct measure is developed. Finally, we evaluate the performance of these financial health investment strategies in alternative institutional environments by focusing on the differences between the two markets regarding both their corporate culture and their legal environment. WHY WAS IT DONE? Similar to economics, the discipline of finance is a social science because its observations emanate from economic transactions between humans. Nevertheless, a significant part of the research in this area is undertaken by means that are almost exclusively applied to the natural sciences, such as mathematics or physics. Although the reasons seem manifold, an increased form of scientificity, in conjunction with greater credibility of the research process and results, is deemed to be of primary importance. However, the benchmark for evaluating these research outcomes differs from those used in the natural sciences. From the example of the efficient market hypothesis one can see that alternative research results that cast serious doubt upon efficiency per se are disregarded as aberrations, leading to the assumption that the hypothesis in its entirety is more or less valid. This study assumes that inefficiencies in the stock market do exist for prolonged periods of time and investors are actually able to benefit from them. HOW WAS IT DONE? Secondary financial statement data of listed companies in the United Kingdom and Germany were downloaded from Datastream for the period between 1992 and 2010. A quantitative analysis of the significance of the correlation between groups of firms with similar financial characteristics and their one-year-ahead stock returns was subsequently performed. Various combination methods for differential weighting of individual financial statement items were conducted. The aim was to increase the profitability of the investment strategy. WHAT WAS FOUND? In general, a classification of stocks according to certain internal criteria of financial health is capable of separating future winners from losers and at the same time confirms the results of a previous US study. More specifically, we first show that a wide range of combination methods generate profitable investment strategies whereby especially measures of profitability are the central indicator of a firm s future performance. Secondly, the more complex methods neither consistently nor substantively outperform the simpler methods. Thirdly, information uncertainty does not seem to be the prime driver of the profitability of an investment strategy. Lastly, we show that financial health investment strategies are profitable both in market-oriented, common law settings and in bank-oriented, code law settings.

La thèse étudie les effets du projet européen de taxation des transactions financières. Elle en analyse les conséquences sur la volatilité, la liquidité, les volumes des marchés d’actions et d’options, ainsi que sur le prix des actions et des obligations. Le Chapitre I, analyse les réactions des teneurs de marché d’option et conclut à un impact non significatif pour les marchés d’options très liquides, et un impact significatif pour les marchés d’options peu liquides, qui est maximal lorsque les positions des teneurs de marché sont détenues jusqu'à leur échéance. Le Chapitre II conclut à une hausse du coût du capital pour les entreprises européennes qui serait défavorisées vis à vis de leurs concurrents situés en dehors de l’EU. C’est la non liquidité des marchés d’options à maturité longue, et l’arbitrage entre dérivés de crédit et actions, qui conduit à cette hausse, d’après le Chapitre I. Le Chapitre III modélise simultanément les prix des actions et des obligations des entreprises. Il conclut à une baisse du prix de ces actifs due à l' introduction de la FTT. Les entreprises à fort levier et taxées à des taux faibles verraient une dépréciation du prix des actions plus élevée que leur concurrentes soumises à des taux plus élevés. Ceci suggère une harmonisation des taux de taxes dans l’EU préalablement à la mise en place de la FTT. Enfin, la FTT, qui déprime le prix des actifs émis par les entreprises, est en conflit avec la règlementation BASEL III qui vise à renforcer leurs fonds propres.En conclusion, notre approche par les options permet de formaliser l’impact sur la volatilité et de trouver une justification à la baisse du prix des actifs mise en évidence par plusieurs études empiriques portant sur des introductions passées de telles taxes au Royaume-Uni et en Suède. / The dissertation reviews the effects, on capital markets, of implementing, within the EU, an excise tax (the FTT) on all financial transactions. We review the effects on the volatility, the liquidity, trading volumes and the price of assets. In Chapter I, we analyze the option market-makers hedging strategies. We conclude to an insignificant effect of the FTT in highly liquid options markets, as opposed to a significant effect in low liquid option markets, the maximum being reached when market makers hold positions until their expiration date. Chapter II evidences a negative impact of the FTT on the corporate cost of capital due to the illiquidity of long dated option markets, and the arbitrage between equity and credit derivatives. The FTT would increase considerably the cost of capital of European companies whose main competitors are outside the EU.In Chapter III, we model both stocks and bonds theoretical prices and conduct simulations of their reaction to the introduction of the FTT. We find that both shares and bond prices will be negatively affected by the FTT, increasing the cost of capital, in the short and long run. Companies with high leverage and a low tax rate will see the price of their shares fall further than the price of shares of comparable, high-tax, leveraged companies. This suggests that EU should level all corporation tax rates, within the EU, prior to the introduction of the FTT. Finally, the FTT has an antagonistic effect to the Basel III regulation which seeks to increase the capital of banks, because at the same time it lowers the prices of securities issued by Banks. In conclusion, our original approach focusing on options, is fruitful. It makes possible to quantify the impact of FTT on volatility and allows a theoretical justification of the negative impact on asset prices found in empirical reviews of past experience of the introduction of a FTT.

This thesis is among the first market microstructure studies of an index futures market with designated market makers in the academic literature. The purpose of this thesis is to investigate intraday patterns of key variables, the relative size of the components of the quoted bid-ask spread, and the order decisions of uninformed traders, in a continuous dealer market for index futures with market makers. Overall, our findings aim to contribute to a better understanding of the roles of market makers and public customers in price formation. Intraday patterns of financial market variables such as trade price, volume, trade size, quoted spreads, depth, and volatility separately for designated market makers and public customers are examined. The lack of relevant and appropriate data in futures markets, as evidenced by Hasbrouck (2003) and Kurov (2005), has inhibited the growth of market microstructure in futures markets. Individual orders, quotes, trader identification, and transactions from June 2003 to December 2004, for FTSEurofirst 80 and 100 index futures are used in the study. Inclusion of the parties to order execution distinguishes this data set from most other futures microstructure sources. As this thesis is the first known academic study of the extant market microstructure of the FTSEurofirst index futures, the institutional aspects of the trading process for the FTSEurofirst index futures are also explored. An alternative method for estimating three cost components as a proportion of the bid-ask spread is developed. A framework is developed for the order decision process of an uninformed trader for the first time in a futures market with market makers. The results of this thesis may have implications for other financial markets and the field of market microstructure.

This thesis aims to provide new insights into the importance of decomposing aggregate time series data using the Maximum Overlap Discrete Wavelet Transform. In particular, the analysis throughout this thesis involves decomposing aggregate financial time series data at hand into approximation (low-frequency) and detail (high-frequency) components. Following this, information and hidden relations can be extracted for different investment horizons, as matched with the detail components. The first study examines the ability of different GARCH models to forecast stock return volatility in eight international stock markets. The results demonstrate that de-noising the returns improves the accuracy of volatility forecasts regardless of the statistical test employed. After de-noising, the asymmetric GARCH approach tends to be preferred, although that result is not universal. Furthermore, wavelet de-noising is found to be more important at the key 99% Value-at-Risk level compared to the 95% level. The second study examines the impact of fourteen macroeconomic news announcements on the stock and bond return dynamic correlation in the U.S. from the day of the announcement up to sixteen days afterwards. Results conducted over the full sample offer very little evidence that macroeconomic news announcements affect the stock-bond return dynamic correlation. However, after controlling for the financial crisis of 2007-2008 several announcements become significant both on the announcement day and afterwards. Furthermore, the study observes that news released early in the day, i.e. before 12 pm, and in the first half of the month, exhibit a slower effect on the dynamic correlation than those released later in the month or later in the day. While several announcements exhibit significance in the 2008 crisis period, only CPI and Housing Starts show significant and consistent effects on the correlation outside the 2001, 2008 and 2011 crises periods. The final study investigates whether recent returns and the time-scaled return can predict the subsequent trading in ten stock markets. The study finds little evidence that recent returns do predict the subsequent trading, though this predictability is observed more over the long-run horizon. The study also finds a statistical relation between trading and return over the long-time investment horizons of [8-16] and [16-32] day periods. Yet, this relation is mostly a negative one, only being positive for developing countries. It also tends to be economically stronger during bull-periods.

This thesis considers new methods that exploit recent developments in computer technology to address three extant problems in the area of Finance and Econometrics. The problem of Asian option pricing has endured for the last two decades in spite of many attempts to find a robust solution across all parameter values. All recently proposed methods are shown to fail when computations are conducted using standard machine precision because as more and more accuracy is forced upon the problem, round-off error begins to propagate. Using recent methods from numerical analysis based on multi-precision arithmetic, we show using the Mathematica platform that all extant methods have efficacy when computations use sufficient arithmetic precision. This creates the proper framework to compare and contrast the methods based on criteria such as computational speed for a given accuracy. Numerical methods based on a deformation of the Bromwich contour in the Geman-Yor Laplace transform are found to perform best provided the normalized strike price is above a given threshold; otherwise methods based on Euler approximation are preferred. The same methods are applied in two other contexts: the simulation of stable distributions and the computation of unit root densities in Econometrics. The stable densities are all nested in a general function called a Fox H function. The same computational difficulties as above apply when using only double-precision arithmetic but are again solved using higher arithmetic precision. We also consider simulating the densities of infinitely divisible distributions associated with hyperbolic functions. Finally, our methods are applied to unit root densities. Focusing on the two fundamental densities, we show our methods perform favorably against the extant methods of Monte Carlo simulation, the Imhof algorithm and some analytical expressions derived principally by Abadir. Using Mathematica, the main two-dimensional Laplace transform in this context is reduced to a one-dimensional problem.