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This study investigates whether investors can reap economic benefits from analyzing differences in analyst quality. Although high-quality analysts’ average forecast is more accurate than the consensus forecast for firms with a large analyst following, the benefits of using high-quality analysts’ average forecasts are not economically significant. In contrast, the value of analyst quality differentiation exists in the second moment of forecasts. High-quality analysts’ forecast dispersion gives investors an advantage in dealing with uncertainty by predicting return volatility and providing opportunities for economically significant returns using option straddle and post-earnings announcement drift investment strategies.

Using micro-level data, we examine the behavior of socially responsible investment (SRI) funds. SRI funds select firms with lower pollution, more board diversity, higher employee satisfaction, and better workplace safety. Yet, both in the cross-section and using an exogenous shock to SRI capital, we find that SRI funds do not significantly change firm behavior. Moreover, we find little evidence that they try to impact firm behavior using shareholder proposals. Our results suggest that SRI funds are not greenwashing, but they are impact washing; they invest in a portfolio of firms with better environmental and social conduct but do not follow through on their promise of impact.

Prof Michaely presented a paper utilizing a unique dataset comprising nearly one million voting rationales provided by investors. The research findings shed light on the motivations behind institutional investors’ voting decisions and their impact on corporate governance practices.

Imagine you’re a successful executive at a large IT company. You’re in charge of security. Your decade-old firm is well established, selling complex, popular IT solutions to large corporations and government bodies. It’s an ordinary Saturday morning, you’re having your coffee and your phone rings. The caller informs you that your company has been subject to a massive cyberattack. Your company’s systems are compromised, and, worse, so are those of your customers. It’s your “nightmare moment”.

Based on textual analysis and a comparison of cybersecurity risk disclosures of firms that were hacked to others that were not, we propose a novel firm-level measure of cybersecurity risk for all U.S.-listed firms. We then examine whether cybersecurity risk is priced in the cross-section of stock returns. Portfolios of firms with high exposure to cybersecurity risk outperform other firms, on average, by up to 8.3% per year. Yet, high-exposure firms perform poorly in periods of high cybersecurity risk. Reassuringly, the measure is higher in information-technology industries, correlates with characteristics linked to firms hit by cyberattacks, and predicts future cyberattacks.

There’s little evidence that the benefits to mankind make up for lower returns on your investment.

"To lead the creation of the HKU Entrepreneurial and Innovation Hub in Israel is a truly exciting journey for me. I am looking forward to work with my excellent colleagues at HKU, to meet the students and interact with the business community in Hong Kong and China. I believe the innovation center HKU is establishing in Israel will bring significant benefits to all communities involved and I am very happy to be a part of this.”