99 research outputs found

    Cross listing waves

    Get PDF
    Using a 57-year global panel of listings on foreign stock exchanges, we identify waves in foreign listing activity at the host market, home market, and industry levels. We observe that the waves in the host market are often due to cross-listing waves in home markets or industries that share a particular affiliation with the respective host market. We then find that cross-listing waves in a given host country or from a given home country largely coincide with the outperformance of that country’s economy and financial markets relative to other competing markets. We also show that firms that list their shares during waves are associated with a temporary value premium. Our results provide novel evidence of non-monotonic market development across countries and over time.Firm valuation; Market competitiveness; Market timing; Stock exchanges

    Flight to Liquidity and Global Equity Returns

    Get PDF
    Investment practice and academic literature suggest a great degree of interaction between the world’s stock markets and most liquid and safe assets, such as U.S. Treasuries. Using data from 46 markets and a 30-year time period, we examine the impact of “flight-to-liquidity” events on global asset valuation. This wide cross-sectional and time-series sample provides a natural setting for analyzing the link between changes in the illiquidity of Treasuries and expected equity returns. Our illiquidity measure is the average percentage bid-ask spread of off-the-run U.S. Treasury bills with maturities of up to one year. We find that this proxy predicts stock market illiquidity and future equity returns in both developed and emerging markets. This predictive relation remains intact after controlling for various world and country-level variables. Asset pricing tests further reveal that Treasury bond illiquidity is a significantly priced factor even in the presence of other conventional risks, such as those of the world stock market, foreign exchange, local equity market variance and illiquidity, as well as the term spread. Our results indicate that flight-to-liquidity risk is an important determinant of returns in global equity markets.Cross-asset integration; Flight-to-quality; Illiquidity beta; International asset pricing; Monetary policy

    The demographics of fund turnover

    Get PDF
    This article documents various demographic factors which influence mutual fund turnover including managerial experience, location, education, and gender. On average, funds in financial centers trade more but this excess turnover declines with experience. While most extra trading is concentrated among less experienced managers in financial centers, they do not outperform inexperienced managers located in smaller towns. Furthermore, managers in financial centers increase trading after good performance. This result is particularly strong for inexperienced, more educated male fund managers investing in growth stocks and located in New York. Our results provide strong evidence that demographic factors influence fund manager trading behavior.Labor market; Mutual funds; Overconfident trading; Performance evaluation

    Spurious Regressions in Financial Economics?

    Get PDF
    Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974). Data mining for predictor variables interacts with spurious regression bias. The two effects reinforce each other, because more highly persistent series are more likely to be found significant in the search for predictor variables. Our simulations suggest that many of the regressions in the literature, based on individual predictor variables, may be spurious

    Portfolio pumping and managerial structure

    Get PDF

    Cross-country competitive effects of cross-listings

    Get PDF

    Global liquidity provision and risk sharing

    Get PDF

    Asset Pricing Models with Conditional Betas and Alphas: The Effects of Data Snooping and Spurious Regression

    Get PDF
    This paper studies the estimation of asset pricing model regressions with conditional alphas and betas, focusing on the joint effects of data snooping and spurious regression. We find that the regressions are reasonably well specified for conditional betas, even in settings where simple predictive regressions are severely biased. However, there are biases in estimates of the conditional alphas. When time-varying alphas are suppressed and only time-varying betas are considered, the betas become baised. Previous studies overstate the significance of time-varying alphas.

    To Group or Not to Group? Evidence from Mutual Funds

    Get PDF
    The literature has conflicting reports regarding the impact of group decision making on performance. We first observe that in mutual fund studies this results from large discrepancies in reported managerial structures between CRSP and Morningstar databases reaching on average 20% per year. Then we show that with more superior Morningstar data team-managed funds exhibit higher risk-adjusted returns than single-managed funds. The performance spread is present across all fund categories, except aggressive funds, and is robust to the inclusion of fund- and manager-level controls. Across various managerial structures, the largest team-induced gains are reached among funds managed by three individuals. Furthermore, teams significantly improve fund performance when funds are located in financial centers, reflecting larger networking potential and/or better skills of people who reside in larger cities. This improvement is achieved in teams more homogeneous in age and education. In spite of higher returns however, team-managed funds are not riskier than single-managed funds in terms of market exposure or idiosyncratic volatility. Finally, team-managed funds trade less aggressively and are able to generate extra inflows for their funds. Thus, collective decision making is beneficial, but its scale depends on team size and diversity as well as its geographic location
    • 

    corecore