A Fast Literature Search Engine based on top-quality journals, by Dr. Mingze Gao.
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- Please kindly let me know [mingze.gao@mq.edu.au] in case of any errors.
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Results 82 resources
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We explore the cross‐sectional pricing of volatility risk by decomposing equity market volatility into short‐ and long‐run components. Our finding that prices of risk are negative and significant for both volatility components implies that investors pay for insurance against increases in volatility, even if those increases have little persistence. The short‐run component captures market skewness risk, which we interpret as a measure of the tightness of financial constraints. The long‐run component relates to business cycle risk. Furthermore, a three‐factor pricing model with the market return and the two volatility components compares favorably to benchmark models.
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We develop a model in which a firm can devote effort either to increasing sales growth, or to improving per‐unit profit margins. If the firm's manager cares about the current stock price, she will favor the growth strategy when the market pays more attention to growth numbers. Conversely, it can be rational for the market to weight growth measures more heavily when it is known that the firm is following a growth strategy. This two‐way feedback between firms' strategies and the market's pricing rule can lead to excess volatility in real variables, even absent any external shocks.
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We present a model of equity trading with informed and uninformed investors where informed investors trade on firm‐specific and marketwide private information. The model is used to identify the component of order flow due to marketwide private information. Estimated trades driven by marketwide private information display little or no correlation with the first principal component in order flow. Indeed, we find that co‐movement in order flow captures variation mostly in liquidity trades. Marketwide private information obtained from equity market data forecasts industry stock returns, and also currency returns.
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The separation of ownership and control allows controlling shareholders to pursue private benefits. We develop an analytically tractable dynamic stochastic general equilibrium model to study asset pricing and welfare implications of imperfect investor protection. Consistent with empirical evidence, the model predicts that countries with weaker investor protection have more incentives to overinvest, lower Tobin's q, higher return volatility, larger risk premia, and higher interest rate. Calibrating the model to the Korean economy reveals that perfecting investor protection increases the stock market's value by 22%, a gain for which outside shareholders are willing to pay 11% of their capital stock.
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We provide a theory of informal communication—cheap talk—between firms and capital markets that incorporates the role of agency conflicts between managers and shareholders. The analysis suggests that a policy of discretionary disclosure that encourages managers to attract the market's attention when the firm is substantially undervalued can create shareholder value. The theory also relates the credibility of managerial announcements to the use of stock‐based compensation, the presence of informed trading, and the liquidity of the stock. Our results are consistent with the existence of positive announcement effects produced by apparently innocuous corporate events (e.g., stock dividends, name changes).
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Changes in nominal interest rates must be due to either movements in real interest rates, expected inflation, or the inflation risk premium. We develop a term structure model with regime switches, time‐varying prices of risk, and inflation to identify these components of the nominal yield curve. We find that the unconditional real rate curve in the United States is fairly flat around 1.3%. In one real rate regime, the real term structure is steeply downward sloping. An inflation risk premium that increases with maturity fully accounts for the generally upward sloping nominal term structure.
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Firms in bilateral relationships are likely to produce or procure unique products—especially when they are in durable goods industries. Consistent with the arguments of Titman and Titman and Wessels, such firms are likely to maintain lower leverage. We compile a database of firms' principal customers (those that account for at least 10% of sales or are otherwise considered important for business) from the Business Information File of Compustat and find results consistent with the predictions of this theory.
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In this study, we show that the effect of diversification on performance is not homogeneous across industries and explore analytically and empirically the implications of this finding for the diversification literature. Diversified firms perform better in industries with a small number of nondiversified competitors or, equivalently, when specialized firms have a small combined market share, but worse as the presence of specialized firms increases in the industries in which they compete. The results are robust to the use of methods that alleviate the self‐selection problem and call for a reassessment of the diversification–performance relationship.
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In practice, heterogeneously informed speculators combine private information about multiple stocks with information in prices, taking into account how their trades influence the inferences of other speculators via prices. We show how this speculation causes prices to be more correlated than asset fundamentals, raising price volatility. The covariance structure of asset fundamentals drives that of prices, while the covariance structure of liquidity trade drives that of order flows. We characterize how speculator profits vary with the distributions of information and liquidity trade across assets and speculators, and relate the cross‐asset factor structure of order flows to that of returns.
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We construct a long daily panel of short sales using proprietary NYSE order data. From 2000 to 2004, shorting accounts for more than 12.9% of NYSE volume, suggesting that shorting constraints are not widespread. As a group, these short sellers are well informed. Heavily shorted stocks underperform lightly shorted stocks by a risk‐adjusted average of 1.16% over the following 20 trading days (15.6% annualized). Institutional nonprogram short sales are the most informative; stocks heavily shorted by institutions underperform by 1.43% the next month (19.6% annualized). The results indicate that, on average, short sellers are important contributors to efficient stock prices.
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