What Changes after Women Enter Top Management Teams?
How do female appointments to top management teams (TMTs) affect a firm's approach to knowledge-related strategic renewal?
How do female appointments to top management teams (TMTs) affect a firm's approach to knowledge-related strategic renewal?
Momentum continues to receive much attention from researchers because of the strong empirical evidence.
Do-It-Yourself trend-following asset allocation weights for the Robust Asset Allocation Index
Can AI models improve on the failures in predicting returns strictly from a practical point of view? In this paper, the possibilities are tested with a battery of AI models including linear regression, dimensional reduction methods, regression trees and neural networks. These machine learning models may be better equipped to address the multidimensional nature of stock returns when compared to traditional sorting and cross-sectional regressions used in factor research. The authors hope to overcome the drawbacks and confirm the results of traditional quant methods. As it turns out, those hopes are only weakly fulfilled by the MLM framework.
Hibbert, Kang, Kumar and Mishra provided us with yet another explanation: social media is providing analysts with information that reduces their forecasting errors. The result has been an increase in market efficiency, leading to a reduction in the PEAD anomaly. The bottom line is that the ability to generate alpha continues to be under assault—trying to outperform the market by stock selection is becoming even more of a loser’s game.
The implications of wishful thinking and subjective belief choice for endogenous disagreement among investors are substantial and can vary with economic conditions:
New research reveals that the performance of the hedge fund industry has not been as bad as the results from studies that relied on hedge fund data providers.
The justification for neutralizing sectors in factor strategies is a work in progress. To date, academic researchers haven't had an empirical model to mimic the impact of removing sector "effects" on the measurement and performance of factor strategies. The authors develop and test a two-component model to address the question of, "Is Sector Neutrality in Factor Investing a Mistake?"
While the empirical research on cross-sectional (long-short) momentum has shown that returns have been high, investors have also experienced huge drawdowns—momentum exhibits both high kurtosis and negative skewness. Since 1926 there have been several momentum crashes that featured short, but persistent, periods of highly negative returns. For example, from June to August 1932, the momentum portfolio lost about 91%, followed by a second drawdown from April to July 1933.
The following factor performance modules have been updated on our Index website.[ref]free access for financial professionals[/ref] Factor Performance Factor Premiums Factor Data Downloads
Given the significant growth of investment in private markets, there have been increasing demands for greater transparency in the operation and structure of private market funds. This paper aims to address questions such as whether fees are set uniformly within most funds, and if not, by how much do they vary.
Studies have found that there is a correlation between stock market downturns and an increase in hospital admissions for mental illness, an increase in domestic violence, deteriorating mental health among retirees, and increased depression rates.
Convexity can provide explosive payoffs from unlikely events. It’s a powerful weapon to wield, but like most weapons, it could be inefficient or even dangerous in the hands of the untrained.
Full exposure to domestic equities. Full exposure to international equities. Full exposure to REITs. Partial exposure to commodities. Partial exposure to intermediate-term bonds.
While there is literature that describes the "domain" of artificial intelligence, there are very few, if any that analyze the valuation and pricing of AI stocks. The authors attempt to fill the void with a two part methodology.
Strong empirical evidence demonstrates that momentum (both cross-sectional and time-series) provides information on the cross-section of returns of many risk assets and has generated alpha relative to existing asset pricing models.
Options have a bad reputation, and for good reason. After all, our friends at Wall Street Bets have taken over and turned the options market into a casino. But just like options can be used for gambling, they can also be used to structure risk and formulate payoffs that have the potential to reduce risk at the portfolio level. In fact, options are one of the best tools at our disposal to manage portfolio risk, if used correctly.
This study offers valuable information to provide insights into the underlying mechanisms driving investment behavior. For example, recognizing the impact of Neuroticism on belief formation and risk perception can help explain why some investors exhibit greater aversion to stock market volatility. Similarly, understanding how Openness influences risk preferences can shed light on why certain individuals are more willing to take investment risks than others.
The benefits of diversification are well known. In fact, it’s been called the only free lunch in investing. Investors who seek to benefit from diversification of the sources of risk and return of their portfolios must accept that adding unique sources of risk means that their portfolio will inevitably experience what is called tracking error—a financial term used as a measure of the performance of a portfolio relative to the performance of a benchmark, such as the S&P 500.
Our analysis highlights the importance of short campaigns for understanding the economic impact of activist hedge funds.
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