[PDF] Moment Risk Premiums In Option Markets On Measurement Structure And Investment Implications eBook
Moment Risk Premiums In Option Markets On Measurement Structure And Investment Implications Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Moment Risk Premiums In Option Markets On Measurement Structure And Investment Implications book. This book definitely worth reading, it is an incredibly well-written.
Rational investors are in general risk averse. An important implication of this risk aversion is that investors may demand compensation for certain risks they take - risk premiums. Moment risk premiums are an example of such risk premiums. They are defined as the difference between a particular statistical moment of the risk-neutral return distribution and the corresponding moment of the physical return distribution. It is the goal of this dissertation to study the measurement, structure, and investment implications of moment risk premiums in option markets. With respect to the measurement ...
This dissertation consists of three essays on eliciting information about underlying assets from the equity options markets, and improving our understanding of the term structure cost of equity. In the first essay, we find that high standard deviations of the volatility premium, of implied volatility innovations, and of the volatility term structure spread in equity options predict low underlying returns. This return predictability is not explained by the levels of these three variables, or by volatility of volatility, other known firm characteristics, or common risk factor models. We find support for interpreting the standard deviations of these option-based measures as forward-looking proxies of heterogeneous beliefs. In the second essay, we find that stocks with high risk-neutral skewness (RNS) exhibit abnormal performance driven by rebounds following poor performance. This behavior connects it to momentum crashes caused by reversal in past losers. In periods of post-recession rebounds and high market volatility when momentum crashes occur, a zero-investment high-low RNS portfolio has significant positive abnormal returns. The momentum anomaly is strongest (weakest) in stocks with the lowest (highest) RNS, consistent with the positive relationship of RNS to momentum crashes. These results hold controlling for trading frictions, other firm characteristics, and risk factors. We generalize our findings to all stocks by constructing an RNS factor-mimicking portfolio SKEW and find that a WML strategy that avoids high SKEW beta stocks has superior performance to the baseline and risk-managed WML strategies. In the third essay, we estimate the cost of equity capital term structure for the insurance industry as a whole, and several insurance sectors such as life/health and property/casualty. We use a vector autoregressive process to jointly model the dynamics of expected cash flows, beta, and the market risk premium. We obtain a closed form solution for the discount rate appropriate for each maturity. Our empirical analysis shows that for the insurance industry, the cost of equity based on our term structure model is on average nearly 299.6 basis points higher compared to the single period CAPM. This means that these insurers might overly invest if they rely on the single period CAPM.
Credit risk is today one of the most intensely studied topics in quantitative finance. This book provides an introduction and overview for readers who seek an up-to-date reference to the central problems of the field and to the tools currently used to analyze them. The book is aimed at researchers and students in finance, at quantitative analysts in banks and other financial institutions, and at regulators interested in the modeling aspects of credit risk. David Lando considers the two broad approaches to credit risk analysis: that based on classical option pricing models on the one hand, and on a direct modeling of the default probability of issuers on the other. He offers insights that can be drawn from each approach and demonstrates that the distinction between the two approaches is not at all clear-cut. The book strikes a fruitful balance between quickly presenting the basic ideas of the models and offering enough detail so readers can derive and implement the models themselves. The discussion of the models and their limitations and five technical appendixes help readers expand and generalize the models themselves or to understand existing generalizations. The book emphasizes models for pricing as well as statistical techniques for estimating their parameters. Applications include rating-based modeling, modeling of dependent defaults, swap- and corporate-yield curve dynamics, credit default swaps, and collateralized debt obligations.
This article examines downside risk premiums using S&P 500 index (SPX) options. Portfolios are constructed using the index options to replicate the downside risk factors and their average excess returns provide estimates of downside risk premiums. We show that all the market risk premium comes from the downside. The mimicking portfolio returns also show that most of the downside risk premium is associated with large market-level losses that are rarely observed. In contrast, investors seem to require little excess return for bearing moderate market-level losses. Therefore, the downside risk premium is largely a tail risk premium. We compare the downside risk premiums measured from stocks and the options to examine whether the risk is priced consistently across the two markets. Our evidence raises several concerns about the downside risk premium measures from the stock market. Overall, we find no robust evidence that downside risks are priced in the stock market in the same way as in the options market.
What is the return to investing in the stock market? Can we predict future stock market returns? How have equities performed over the last two centuries? The authors in this volume are among the leading researchers in the study of these questions. This book draws upon their research on the stock market over the past two dozen years. It contains their major research articles on the equity risk premium and new contributions on measuring, forecasting, and timing stock market returns, together with new interpretive essays that explore critical issues and new research on the topic of stock market investing. This book is aimed at all readers interested in understanding the empirical basis for the equity risk premium. Through the analysis and interpretation of two scholars whose research contributions have been key factors in the modern debate over stock market perfomance, this volume engages the reader in many of the key issues of importance to investors. How large is the premium? Is history a reliable guide to predict future equity returns? Does the equity and cash flows of the market? Are global equity markets different from those in the United States? Do emerging markets offer higher or lower equity risk premia? The authors use the historical performance of the world's stock markets to address these issues.
The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.
This open access book addresses four standard business school subjects: microeconomics, macroeconomics, finance and information systems as they relate to trading, liquidity, and market structure. It provides a detailed examination of the impact of trading costs and other impediments of trading that the authors call rictions It also presents an interactive simulation model of equity market trading, TraderEx, that enables students to implement trading decisions in different market scenarios and structures. Addressing these topics shines a bright light on how a real-world financial market operates, and the simulation provides students with an experiential learning opportunity that is informative and fun. Each of the chapters is designed so that it can be used as a stand-alone module in an existing economics, finance, or information science course. Instructor resources such as discussion questions, Powerpoint slides and TraderEx exercises are available online.
This publication aims to fill the void between books providing an introduction to derivatives, and advanced books whose target audience are members of quantitative modelling community. In order to appeal to the widest audience, this publication tries to assume the least amount of prior knowledge. The content quickly moves onto more advanced subjects in order to concentrate on more practical and advanced topics. "A master piece to learn in a nutshell all the essentials about volatility with a practical and lively approach. A must read!" Carole Bernard, Equity Derivatives Specialist at Bloomberg "This book could be seen as the 'volatility bible'!" Markus-Alexander Flesch, Head of Sales & Marketing at Eurex "I highly recommend this book both for those new to the equity derivatives business, and for more advanced readers. The balance between theory and practice is struck At-The-Money" Paul Stephens, Head of Institutional Marketing at CBOE "One of the best resources out there for the volatility community" Paul Britton, CEO and Founder of Capstone Investment Advisors "Colin has managed to convey often complex derivative and volatility concepts with an admirable simplicity, a welcome change from the all-too-dense tomes one usually finds on the subject" Edmund Shing PhD, former Proprietary Trader at BNP Paribas "In a crowded space, Colin has supplied a useful and concise guide" Gary Delany, Director Europe at the Options Industry Council