A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
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Results 93 resources
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We develop a standard model to show how transaction costs in international investment affect conventional tests of consumption risk sharing, both in a multilateral and a bilateral setting. We implement the tests in a novel international data set on bilateral holdings of equity, bonds, foreign direct investment (FDI) and bank loans. In our data, high foreign capital holdings are associated with international consumption risk sharing as implied by our theory. This is especially true of investment in equity or bonds, but not of foreign direct investment or bank loans. In our model, the implication is that transaction costs are higher for FDI and international loans. The discrepancy could reflect technological differences, but also the prospect of expropriation, perhaps most stringent for FDI or loans. We argue that expropriation risk is endogenous to both the borrower's institutions and its openness to international markets. The detrimental impact of poor institutions is muted in open economies, where the possibility of subsequent exclusion from world markets deters expropriation of foreign capital. We show the implied effects of institutions prevail in both the cross-section of consumption risk sharing and in observed international investment patterns.
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Theories such as Merton [1987. A simple model of capital market equilibrium with incomplete information. Journal of Finance 42, 483-510] predict a positive relation between idiosyncratic risk and expected return when investors do not diversify their portfolio. Ang, Hodrick, Xing, and Zhang [2006. The cross-section of volatility and expected returns. Journal of Finance 61, 259-299], however, find that monthly stock returns are negatively related to the one-month lagged idiosyncratic volatilities. I show that idiosyncratic volatilities are time-varying and thus, their findings should not be used to imply the relation between idiosyncratic risk and expected return. Using the exponential GARCH models to estimate expected idiosyncratic volatilities, I find a significantly positive relation between the estimated conditional idiosyncratic volatilities and expected returns. Further evidence suggests that Ang et al.'s findings are largely explained by the return reversal of a subset of small stocks with high idiosyncratic volatilities.
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We decompose syndicated loan risk into credit, market, and liquidity risk and test how these shape syndicate structure. Commercial banks dominate relative to non-banks in loan syndicates that expose lenders to liquidity risk. This dominance is most pronounced when borrowers have high levels of credit or market risk. We then tie commercial banks' advantage in liquidity risk to access to transactions deposits by comparing investments across banks. The results suggest that risk-management considerations matter most for participants relative to lead arrangers. Links from transactions deposits to liquidity exposure, for instance, are more than 50% larger at participants than at lead arrangers.
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We consider a dynamic limit order market in which traders optimally choose whether to acquire information about the asset and the type of order to submit. We numerically solve for the equilibrium and demonstrate that the market is a "volatility multiplier": prices are more volatile than the fundamental value of the asset. This effect increases when the fundamental value has high volatility and with asymmetric information across traders. Changes in the microstructure noise are negatively correlated with changes in the estimated fundamental value, implying that asset betas estimated from high-frequency data will be incorrect.
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We study the cross-section of stock option returns by sorting stocks on the difference between historical realized volatility and at-the-money implied volatility. We find that a zero-cost trading strategy that is long (short) in the portfolio with a large positive (negative) difference between these two volatility measures produces an economically and statistically significant average monthly return. The results are robust to different market conditions, to stock risks-characteristics, to various industry groupings, to option liquidity characteristics, and are not explained by usual risk factor models.
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Given the key role of liquidity in finance research, identifying high quality proxies based on daily (as opposed to intraday) data would permit liquidity to be studied over relatively long timeframes and across many countries. Using new measures and widely employed measures in the literature, we run horseraces of annual and monthly estimates of each measure against liquidity benchmarks. Our benchmarks are effective spread, realized spread, and price impact based on both Trade and Quote (TAQ) and Rule 605 data. We find that the new effective/realized spread measures win the majority of horseraces, while the Amihud [2002. Illiquidity and stock returns: cross-section and time-series effects. Journal of Financial Markets 5, 31-56] measure does well measuring price impact.
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Similarly priced stocks move together. Stocks that undergo splits experience an increase in comovement with low-priced stocks and a decrease in their comovement with high-priced stocks. Price-based comovement is not explained by economic fundamentals, firm size, or changes in liquidity or information diffusion. The shift in comovement following splits is greater for large stocks, high-priced stocks, and when investor sentiment is high. In the full cross-section, price-based portfolios explain variation in stock-level returns after controlling for movements in the market and industry portfolios as well as portfolios based on size, book-to-market, transaction costs, and return momentum. The results suggest that investors categorize stocks based on price.
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We use mutual fund manager data from the technology bubble to examine the hypothesis that inexperienced investors play a role in the formation of asset price bubbles. Using age as a proxy for managers' investment experience, we find that around the peak of the technology bubble, mutual funds run by younger managers are more heavily invested in technology stocks, relative to their style benchmarks, than their older colleagues. Furthermore, young managers, but not old managers, exhibit trend-chasing behavior in their technology stock investments. As a result, young managers increase their technology holdings during the run-up, and decrease them during the downturn. Both results are in line with the behavior of inexperienced investors in experimental asset markets. The economic significance of young managers' actions is amplified by large inflows into their funds prior to the peak in technology stock prices.
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Recent work documents large positive abnormal returns when a hedge fund announces activist intentions regarding a publicly listed firm. We show that these returns are largely explained by the ability of activists to force target firms into a takeover. For a comprehensive sample of 13D filings by portfolio investors between 1993 and 2006, announcement returns and long-term abnormal returns are high for targets that are ultimately acquired, but not detectably different from zero for firms that remain independent. Firms targeted by activists are more likely than control firms to get acquired. Finally, activist investors' portfolios perform poorly during a period in which market wide takeover interest declined.
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This paper extends the literature on analyst optimism. Our analysis of a large sample of recommendations issued from 1995 through 2006 indicates that sell-side analysts are likely to assign frequent and favorable ratings to a stock after the analysts' affiliated mutual funds invest in that stock. Controlling for a number of variables, including the ties between analysts and investment banks, we find that the greater the portfolio weight of a stock in the fund family, the more optimistic the stock ratings from affiliated analysts become. Since 2002, analysts' optimism on stocks held by affiliated mutual funds has declined. However, an analyst's decision of upgrading a stock to a "strong buy" rating is still significantly associated with the portfolio weight of that stock in the fund family.
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