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Dynamic Trading with Predictable Returns and Transaction Costs
We derive a closed-form optimal dynamic portfolio policy when trading is costly and security returns are predictable by signals with different mean-reversion speeds. The optimal strategy is characterized by two principles: (1) aim in front of the target, and (2) trade partially toward the current aim. Specifically, the optimal updated portfolio is a linear combination of the existing portfolio and an \"aim portfolio,\" which is a weighted average of the current Markowitz portfolio (the moving target) and the expected Markowitz portfolios on all future dates (where the target is moving). Intuitively, predictors with slower mean-reversion (alpha decay) get more weight in the aim portfolio. We implement the optimal strategy for commodity futures and find superior net returns relative to more naive benchmarks.
Journal Article
The Motley Fool million dollar portfolio : how to build and grow a panic-proof investment portfolio
Draws on a groundbreaking experiment by the multi-media financial education company to demonstrate strategies for building a seven-figure portfolio, revealing proprietary methods for uncovering market-beating stocks.
Book
The Global Crisis and Equity Market Contagion
We analyze the transmission of the 2007 to 2009 financial crisis to 415 country-industry equity portfolios. We use a factor model to predict crisis returns, defining unexplained increases in factor loadings and residual correlations as indicative of contagion. While we find evidence of contagion from the United States and the global financial sector, the effects are small. By contrast, there has been substantial contagion from domestic markets to individual domestic portfolios, with its severity inversely related to the quality of countries' economic fundamentals. This confirms the \"wake-up call\" hypothesis, with markets focusing more on country-specific characteristics during the crisis.
Journal Article
The investment checklist : the art of in-depth research
\"A practical guide to making more informed investment decisionsInvestors often buy or sell stocks too quickly. When you base your purchase decisions on isolated facts and don't take the time to thoroughly understand the businesses you are buying, stock-price swings and third-party opinion can lead to costly investment mistakes. Your decision making at this point becomes dangerous because it is dominated by emotions. The Investment Checklist has been designed to help you develop an in-depth research process, from generating and researching investment ideas to assessing the quality of a business and its management team. The purpose of The Investment Checklist is to help you implement a principled investing strategy through a series of checklists. In it, a thorough and comprehensive research process is made simpler through the use of straightforward checklists that will allow you to identify quality investment opportunities. Each chapter contains detailed demonstrations of how and where to find the information necessary to answer fundamental questions about investment opportunities. Real-world examples of how investment managers and CEOs apply these universal principles are also included and help bring the concepts to life. These checklists will help you consider a fuller range of possibilities in your investment strategy, enhance your ability to value your investments by giving you a holistic view of the business and each of its moving parts, identify the risks you are taking, and much more.Offers valuable insights into one of the most important aspects of successful investing, in-depth researchWritten in an accessible style that allows aspiring investors to easily understand and apply the concepts coveredDiscusses how to think through your investment decisions more carefullyWith The Investment Checklist, you'll quickly be able to ascertain how well you understand your investments by the questions you are able to answer, or not answer, without making the costly mistakes that usually hinder other investors\"-- Provided by publisher.
Book
Window Dressing in Mutual Funds
We provide a rationale for window dressing wherein investors respond to conflicting signals of managerial ability inferred from a fund's performance and disclosed portfolio holdings. We contend that window dressers make a risky bet on their performance during a reporting delay period, which affects investors' interpretation of the conflicting signals and hence their capital allocations. Conditional on good (bad) performance, window dressers benefit (suffer) from higher (lower) investor flows compared with non–window dressers. Window dressers also show poor past performance, possess little skill, and incur high portfolio turnover and trade costs, characteristics which in turn result in worse future performance.
Journal Article
Large Shareholder Diversification and Corporate Risk-Taking
Using new data for the universe of firms covered in Amadeus, we reconstruct the portfolios of shareholders who hold equity stakes in private- and publicly traded European firms. We find great heterogeneity in the degree of portfolio diversification across large shareholders. Exploiting this heterogeneity, we document that firms controlled by diversified large shareholders undertake riskier investments than firms controlled by nondiversified large shareholders. The impact of large shareholder diversification on corporate risk-taking is both economically and statistically significant. Our results have important implications at the policy level because they identify one channel through which policy changes can improve economic welfare.
Journal Article
Stock Options as Lotteries
We investigate the relationship between ex ante total skewness and holding returns on individual equity options. Recent theoretical developments predict a negative relationship between total skewness and average returns, in contrast to the traditional view that only coskewness is priced. We find, consistent with recent theory, that total skewness exhibits a strong negative relationship with average option returns. Differences in average returns for option portfolios sorted on ex ante skewness range from 10% to 50% per week, even after controlling for risk. Our findings suggest that these large premiums compensate intermediaries for bearing unhedgeable risk when accommodating investor demand for lottery-like options.
Journal Article