The efficiency of international information flow: Evidence from the ETF and CEF prices

While similar in their trading and organization, closed-end funds (CEFs) and exchange-traded funds (ETFs) differ in their liquidity and ease of arbitrage. We compare their price transmission dynamics using a sample of funds that invest in foreign securities and are most likely to show the deficiencies in the manner in which they process information. Our analysis shows that ETF returns are more closely related to their portfolio returns than are CEF returns. However, both fund types underreact to portfolio returns but overreact to domestic stock market returns. A simple trading strategy using these results is profitable with roundtrip trading costs less than 1.38% for CEFs and 0.71% for ETFs.     

The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks

We measure the volatility information content of stock options for individual firms using option prices for 149 US firms and the S&P 100 index. We use ARCH and regression models to compare volatility forecasts defined by historical stock returns, at-the-money implied volatilities and model-free volatility expectations for every firm. For 1-day-ahead estimation, a historical ARCH model outperforms both of the volatility estimates extracted from option prices for 36% of the firms, but the option forecasts are nearly always more informative for those firms that have the more actively traded options. When the prediction horizon extends until the expiry date of the options, the option forecasts are more informative than the historical volatility for 85% of the firms. However, at-the-money implied volatilities generally outperform the model-free volatility expectations.     

The information content of implied volatility, skewness and kurtosis: empirical evidence from long-term CAC 40 options

Implied standard deviation is widely believed to be the best available forecast of the volatility of returns over the remaining contract life (Jorion, 1995 ). In this paper, we take this result two steps further to the higher moments of the distribution (skewness and kurtosis) based on a Gram–Charlier series expansion of the normal distribution (Corrado and Su, 1996 ) using long-term CAC 40 option prices contract, named PXL. First, we found that implied first moments contain a substantial amount of information for future moments of CAC 40 returns although this amount decreases with respect to the moment's order. Secondly, we found that the different shapes of the volatility smile are consistent with different distribution of the underlying returns. Based on these results, we also observed that including other implied moments significantly improves the out-of-sample pricing performance of the Black–Scholes, (1973) model.     

Asymmetric information and options

In an extension of the Kyle (1985) model of continuous insidertrading, it is shown that asymmetric information can make itimpossible to price options by arbitrage. Even when an optionwould appear to be redundant, its introduction into the marketcan cause the volatility of the underlying asset to become stochastic.This eliminates the potential for dynamically replicating theoption. The change in the price process of the asset reflectsa change in the information transmitted by volume and priceswhen the option is traded.     

The information content of security prices

The study derives a relationship between prices changes and earnings changes by expanding the information upon which earnings expectations are conditioned to include data other than prior earnings history. In particular, price is used as a surrogate for additional information available to market participants. This relationship provides an interpretation of the contemporaneous association between price changes and earnings changes previously observed by Ball and Brown (1968) and Beaver, Clarke and Wright (1979), among others. It also provides a basis for inferring from prices the earnings process and the expected future earnings as perceived by market participants. In doing so, it inverts the familiar price-earnings relationship and uses price as a predictor of earnings. The study differs from previous research which has examined the time series behavior of earnings based solely on previous earnings realizations. This approach can potentially lead to earnings forecasting models that are more accurate than the random walk with a drift that has been robust against challengers. In particular, the evidence indicates that security prices behave as if earnings are perceived to be dramatically different from a simple random walk process. Preliminary evidence also indicates that price-based forecasting models are more accurate than the random walk with a drift model.     

The information content of stock splits

This study examines whether stock splits contain information content about future operating performance or whether splits are undertaken by firms to realign their share prices and to improve trading liquidity. In the four years following split announcements, splitting firms do not experience improved operating performance relative to non-splitting firms. Furthermore, stock split signals are not related to future profitability. The positive announcement effect can be explained by lower share prices and improved market liquidity following stock splits but not by split signals and post-split operating performance. Our results show very little evidence that stock splits signal improvement in long-run operating performance and are more consistent with the trading range/liquidity hypothesis.     

The information content of option ratios

A broad stream of research shows that information flows into underlying stock prices through the options market. For instance, prior research shows that both the Put–Call Ratio (P/C) and the Option-to-Stock Volume Ratio (O/S) predict negative future stock returns. In this paper, we compare the level of information contained in these two commonly used option volume ratios. First, we find that P/C ratios contain more predictability about future stock returns at the daily level than O/S ratios. Second, in contrast to our first set of results, O/S ratios contain more predictability about future returns at the weekly and monthly levels than P/C ratios. In fact, our tests show that while P/C ratios contain predictability about future daily returns and, to some extent, future weekly returns, the return predictability in P/C ratios is fleeting. O/S ratios, on the other hand, significantly predict negative returns at all levels: daily, weekly, and monthly. While Pan and Poteshman (2006) show that signed P/C ratios, which require proprietary data, have predictive power, we find that unsigned P/C ratios, which do not require proprietary data, also have predictive power.     

The information content of aggregate profitability

Recently, there has been significant interest in the information content of aggregate accounting profitability. I collect evidence on whether aggregate profitability captures information about changes in the cost of capital as predicted by classical investment theory. Consistent with these predictions, I find that the stock market return is negatively related to future accounting profitability for several years into the future. I provide evidence that this relation is most likely due to a positive association between changes in expected returns which exert a negative impact on stock returns and future profitability. These findings indicate that aggregate accounting profitability reflects significant economic content related to the cost of capital. This study is the first to link changes in accounting profitability to the market cost of capital under an investment-based mechanism.     

The information content of stock splits

We develop a new methodology that controls for both the timing of annual earnings news (Asquith et al., 1989) and the performance prior to split announcements (Barber and Lyon, 1996) to evaluate the information content of stock splits. In contrast to existing evidence, we find that stock splits in aggregate are followed by positive abnormal future earnings growth, suggesting that stock splits contain information about future, rather than past, operating performance. When we use changes in breadth of institutional ownership as a new metric of information content to corroborate our findings, we find that splits with the greatest increase in breadth experience positive post-split abnormal returns and positive abnormal earnings growth. Together, our results suggest that some splits contain positive information about future performance, and that sophisticated market participants such as institutional investors are able to select these splits.     

The information content of trading halts

We investigate the impact of trading halts of NYSE-listed stocks on informationally related securities that continue to trade during the period of the halt. Informational relationships are established for companies in the same four-digit SIC industry based on the correlation of returns, volume, volatility, and the adverse selection components of spreads. We find a significant liquidity impact on informationally related securities with spreads and price impact of trades having substantial increases. However, we also find that quoted depths, the number of trades, and trade volume significantly increase. Our results are consistent with the trading halt model of Spiegel and Subrahmanyam [2000. Asymmetric information and news disclosure rules. Journal of Financial Intermediation 9, 363–403] and with the informed trading model of Tookes [2008. Information, trading, and product market interactions: cross-sectional implications of informed trading. Journal of Finance 63, 379–413]. In addition, our results indicate that there is a common liquidity response of informationally related securities to firm-specific trading halts.     

The information content of trade credit

During 1992–2007, suppliers financed almost 10% of the total assets of US listed firms. This intensive usage of trade credit is puzzling in the light of its high (implicit) costs. By arguing that trade credit use provides valuable information to outside investors, we first derive a theoretical model that predicts a positive correlation between trade credit use and the quality of the firm’s investments. Then, using several proxies for firm’s investment quality (Z-score, return on assets, and long-run abnormal returns), we show that this prediction receives strong support from a large sample of US firms.     

The information content of closed-end country fund discounts

This paper examines whether premiums and discounts on closed-end country mutual funds (CECFs) contain useful information about future returns. We find that higher CECF premiums are associated both with higher future returns on the relevant foreign market index and with higher future NAV returns after controlling for the foreign market return. CECFs trading at large discounts are not necessarily bargains, because their future NAV performance can be expected to be relatively poor.     

The information content of R&D reductions

An extensive literature shows that R&D intensities and increases are positively related to firm performance, but little research examines the valuation of R&D reductions. This paper fills the void by studying long-term performance following R&D reductions. We find that, contrary to conventional wisdom, large R&D cuts are associated with positive future stock returns. This return drift cannot be explained by asset pricing factors, including R&D intensities and R&D increases. We explore two potential economic motives behind R&D reductions: R&D spillover and firm life cycle. We show that operating performance deteriorates immediately before R&D reductions but exhibits no abnormal pattern afterward. While firm growth falls substantially and variability in profitability reduces, firms with low or declining investment opportunities and mature firms outperform. These findings are inconsistent with the spillover hypothesis, but support the life cycle story that firms attempt to resolve overinvestment in R&D that arises over the course of firm life cycle.     

The incremental information content of replacement cost earnings

The study explores the incremental explanatory power of replacement cost earnings variables (derived from ASR 190 data) with respect to explaining cross sectional differences in security returns. As such, the study is a natural extension of previous research, including analyses of the effect of security returns of ASR 190 data at the time of disclosure, investigations of cross sectional relationships between security returns and historical cost earnings, and studies of multiple signals. The basic finding is that pre-holding gain net income provides no incremental explanatory powerm given knowledge of historical cost earnings. However, the converse does not hold. Taken together, the findings are consistent with the contention that pre-holding gain net income is a garbled version of historical cost earnings. The basic finding is robust under several extensions of the initial research design. The research design incorporates a two-stage approach which permits a determination of the incremental explanatory power of collinear variables. The findings are in contrast to those of a previous study by Easman et al. (1979). The nature of the difference in research design inducing the difference is identified. Potential reasons for the difference in findings are provided.     

The information content of option-implied information for volatility forecasting with investor sentiment

This study explores the effect of investor sentiment on the volatility forecasting power of option-implied information. We find that the risk-neutral skewness has the explanatory power regarding future volatility only during high sentiment periods. Furthermore, the implied volatility has varying volatility forecasting ability depending on the level of investor sentiment. Our findings suggest that the effectiveness of volatility forecasting models based on option-implied information varies over time with the level of investor sentiment. We confirm the important role of investor sentiment in volatility forecasting models exploiting option-implied information with strong evidence from in-sample and out-of-sample analyses. We also present improvements in the accuracy of volatility forecasts from volatility forecasting models derived by incorporating investor sentiment in these models.     

沪深300ETF套期保值效果的比较研究

文章采用OLS、ECM、CCC-BGARCH以及DCC-BGARCH模型分别计算了两支300ETF的最优套期保值比率,并分别比较了两支300ETF的套期保值效果,结果发现：动态多元GARCH类模型的效果明显好于OLS和ECM模型;无论采用哪种模型,华泰柏瑞沪深300ETF的套期保值效果都要好于嘉实沪深300ETF;由于华泰柏瑞沪深300ETF的高流动性和相对完善的套利机制,使得其适合较大方差变化的DCC-BGARCH模型;而嘉实沪深300ETF采用CCC-BGARCH模型的套期保值效果更好,这可能是因为嘉实沪深300ETF和沪深300股指期货间的关联性波动较小,相关系数更接近于常数的缘故。