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This paper studies the effect of portfolio manager ownership (i.e., “skin in the game”) on mutual fund risk taking. Using holdings-based risk change measures that capture managers’ ex ante risk choices, we find that portfolio manager ownership reduces both intrayear and across-year risk-taking activities. The relationship between ownership and risk reduction is particularly strong among managers with high agency issue–induced risk-taking incentives—for example, managers who face a more convex flow-performance relationship, have poor past performance, or are not compensated based on long-term fund performance. Funds with greater managerial ownership are also associated with lower levels of total risk and downside risk. Overall, portfolio manager ownership serves as an incentive alignment mechanism and has important implications for mutual fund investors. This paper was accepted by Amit Seru, finance.

Rocked by a flurry of high-profile sex discrimination lawsuits in the 1990s, Wall Street was supposed to have cleaned up its act. It hasn't.Selling Women Shortis a powerful new indictment of how America's financial capital has swept enduring discriminatory practices under the rug. Wall Street is supposed to be a citadel of pure economics, paying for performance and evaluating performance objectively. People with similar qualifications and performance should receive similar pay, regardless of gender. They don't. Comparing the experiences of men and women who began their careers on Wall Street in the late 1990s, Louise Roth finds not only that women earn an average of 29 percent less but also that they are shunted into less lucrative career paths, are not promoted, and are denied the best clients. Selling Women Shortreveals the subtle structural discrimination that occurs when the unconscious biases of managers, coworkers, and clients influence performance evaluations, work distribution, and pay. In their own words, Wall Street workers describe how factors such as the preference to associate with those of the same gender contribute to systematic inequality. Revealing how the very systems that Wall Street established ostensibly to combat discrimination promote inequality,Selling Women Shortcloses with Roth's frank advice on how to tackle the problem, from introducing more tangible performance criteria to curbing gender-stereotypical client entertaining activities. Above all, firms could stop pretending that market forces lead to fair and unbiased outcomes. They don't.

This paper presents some conventional and new measures of market, credit, and liquidity risks for government bonds. These measures are analyzed from the perspective of a sovereign's debt manager. In particular, it examines duration, convexity, M-square, skewness, kurtosis, and VaR statistics as measures of interest rate exposure; a VaR statistic as the prominent measure of exchange rate exposure; the balance sheet approach (or contingent claims approach), and its consequent probability of default as the most promising measure of credit risk exposure; and an elasticity approach and a VaR statistic to measure liquidity risk. Along with the formulas for the various statistics proposed, we provide simple examples of their application to some common risk valuation cases. Finally, we present an integrated approach for the simultaneous estimation of a portfolio's interest rate and exchange rate risk using the VaR methodology. The integrated approach is then extended to also include N risk factors. This approach allows us to measure the total risk of a portfolio, provided that the volatilities and correlations among the risk factors can be estimated.

In this paper, we focus on an implicit assumption in the BSM framework that limits the scope of market network connections to seeking gains in the currency basis, i.e., on trading strategies between the numeraire and the stock and between the numeraire and the option, separately. We relax this assumption and derive the equivalent of the standard BSM approach under a more general market network framework in order to assess its implications. In doing so, we find that it is not possible to hedge on an implicit option that allows one to directly trade the option and stock. This represents a potential challenge to the BSM framework, since the missing market network connection provides a potentially useful mechanism for risk-bearing portfolio managers to alter their portfolios.

Franklin Templeton Investments is a worldwide asset management company that provides services to clients in more than 170 countries. Unlike investment funds, mutual funds do not have legal personality, therefore they are merely baskets that associate assets. High past equity returns are not a guarantee of future earnings. Individual funds are often praised for the positive results they have achieved in the past, but even experienced portfolio managers cannot guarantee future returns despite their past successes in the market. The main purpose of this paper is to compare the competitiveness of Franklin Templeton fund managers. Among the time-tested indicators and suitable markers for our research on the validation of an active mutual fund with its benchmark index, the information ratio and sharp ratio have been included in the present study. Recent studies suggest that fund managers cannot achieve better results than those set in their benchmark. Managers do not utilize a simple set-up with a given portfolio, and thus their competitiveness would seem to compare unfavorably to results achieved by so-called passive investment. It can be noted that over the course of 15 years, the longest single time period that was analyzed, out of 22 equity funds, only four sets of results exceeded the benchmark. However, if regular fees are also taken into consideration to reflect more pragmatically the benefits for the investor, none of the funds analyzed in the present study failed to overcome the set benchmark during this period.

An increasing percentage of the total net assets under professional management is devoted to ethical investments. Socially responsible investment (SRI) funds have a dual objective: building an investment strategy based on environmental, social, and corporate governance (ESG) screens and providing financial returns to investors. In the current study, we investigate whether this dual objective has an influence on the behavior of mutual fund managers in the realization of gains and losses. Evidence has shown that most investors in SRI funds invest in those funds primarily because of their social concerns. If the motivations of SRI managers align with those of SRI investors, SRI managers might then have more incentives than conventional managers to hold onto losing stocks if they feel their social value compensates for the economic loss. We hypothesize that SRI managers would be less prone to the disposition effect than conventional managers. Pertaining to the disposition effect, we do not find evidence of a difference in the behavior of SRI fund managers compared with that of conventional fund managers. Our results hold, even when considering market trends, management structure, gender, and prior performance.

Recognizing that robust decision making is vital in risk management, this book provides concepts and algorithms for computing the best decision in view of the worst-case scenario. The main tool used is minimax, which ensures robust policies with guaranteed optimal performance that will improve further if the worst case is not realized. The applications considered are drawn from finance, but the design and algorithms presented are equally applicable to problems of economic policy, engineering design, and other areas of decision making. Critically, worst-case design addresses not only Armageddon-type uncertainty. Indeed, the determination of the worst case becomes nontrivial when faced with numerous--possibly infinite--and reasonably likely rival scenarios. Optimality does not depend on any single scenario but on all the scenarios under consideration. Worst-case optimal decisions provide guaranteed optimal performance for systems operating within the specified scenario range indicating the uncertainty. The noninferiority of minimax solutions--which also offer the possibility of multiple maxima--ensures this optimality. Worst-case design is not intended to necessarily replace expected value optimization when the underlying uncertainty is stochastic. However, wise decision making requires the justification of policies based on expected value optimization in view of the worst-case scenario. Conversely, the cost of the assured performance provided by robust worst-case decision making needs to be evaluated relative to optimal expected values. Written for postgraduate students and researchers engaged in optimization, engineering design, economics, and finance, this book will also be invaluable to practitioners in risk management.

Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium.Portfolio Risk Analysisprovides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.

This chapter discusses how to overcome obstacles when delivering the message to the stock portfolio manager, with the goal of being efficient in one's delivery and minimizing any extraneous factors that detract from the content of one's message. There is a middle ground that bridges the gap between content and delivery. The goal is to capture the portfolio manager's attention. One can use the 30‐second hook as a stand‐alone module in several different circumstances. The two‐minute drill can also be written or spoken. In written form, one can use the content from one's two‐minute drill as the introduction or executive summary to any research report one writes. One should provide him with supplemental information to one's pitch, called a pitch pack, to make the portfolio manager's job even easier. The pitch pack includes one's slide presentation, any reports one has written, and the company's financial documents, such as its annual report, most recent 10Q, and latest earnings release.