We provide evidence of a network of information flow between activists and other investors prior to 13D filings. We match EDGAR search activity to investor IP addresses, identifying specific investors who persistently download information on an individual activist’s campaign targets in the days prior to that activist’s 13D disclosures. This outside investor’s knowledge of pending activist campaign plans seems to benefit both parties: the informed investor, unnamed in the 13D, increases its holdings in the targeted stock prior to the price surge upon 13D disclosure, while the activist earns voting support that increases their likelihood of pursuing and winning a proxy fight.

This article investigates the impact of exchange-traded fund (ETF) ownership on seasoned equity offerings (SEOs). We find that increases to firms’ ETF ownership is positively related to their propensity to conduct an SEO. ETF ownership is also associated with less negative SEO announcement returns, smaller discounts, and better long-run stock returns. Our evidence is consistent with equity issuance following investor demand for stocks driven by greater participation in ETFs, suggesting a possible alternative source of market timing opportunity.

Price adjustment delays occur between in-the-money convertible preferred stock prices and common stock prices. Convertible preferred prices systematically deviate from the prices predicted from their conversion relations with common stocks. The price predictability stems from price changes in the underlying common stocks leading the price changes in the convertible preferred stocks by up to nine hours. Cross-sectionally, about 70 percent of the variation in the unsigned size of the price deviations is explained by proxies for costs of arbitrage.

This paper shows how to decompose the dollar profit earned from an option into two basic components: i) mispricing of the option relative to the asset at the time of purchase; and ii) profit from subsequent fortuitous changes or mispricing of the underlying asset. This separation hinges on measuring the “true relative value” of the option from its realized payoff. The payoff from any one option has a huge standard error about this value that can be reduced by averaging the payoff from several independent option positions. Simulations indicate that 95% reductions in standard errors can be further achieved by using the payoff of a dynamic replicating porfolio as a Monte Carlo control variate. In addition, the paper shows that these low standard errors are robust to discrete rather than continuous dynamic replication and to the likely degree of misspecification of the benchmark formula used to implement the replication.

Option mispricing profit can be futher decomposed into profit due to superior estimation of the volatility (volatility profit) and profit from using a superior option valuation formula (formula profit). To make this decomposition reiably, the benchmark formula used for the attribution needs to be similar to the formula implicitly used by the market to price options. If so, then simulation indicates that this further decomposition can be achieved with low standard errors. Basic component ii) can be further decomposed into profit from a forward contract of the underlying asset (asset profit) and what I term pure option profit. The asset profit indicates whether the investor was skillful by buying or selling options on mispriced underlying assets. However, asset profit could also simply be just compensation for bearing risk—a distinction beyond the scope of this paper. Although simulation indicates that the attrivution procedure gives an unbiased allocation of the option profit to this source, its standard error is large—a feature common with others' attempts to measure performance of asssets.

Although Imai and Rubenstein are correct that our proof — that the Miller- Modiglianl (M-M) and Sharpe-Lintner-Mossin (S-L-M) capital asset pricing models are mutually consistent — is incomplete, their comments indicate some confusion about the relationships involved in the equilibrium pricing of assets in these models. Further, they seem to imply that Stiglitz's proof in terms of dollar returns is in some sense superior to a proof in terms of rates of return. This is erroneous. Accordingly, we shall further clarify the relationships inherent in the models and correct our presentation of the proof of the invariance of capital costs in the context of the S-L-M model.

The purpose of this paper is to provide evidence that the Bureau of the Census' X–ll program for seasonal adjustment [3] overstates the incidence of seasonality in some forms of times series data. This problem arises in a recent study by Bonin and Moses [1] (hereafter B-M) indicating that 7 of the 30 Dow Jones Industrial stocks exhibited persistent seasonal patterns during the period July 1962 through June 1971.

The theory of efficient capital markets suggests that if the capital markets are efficient, security prices can be assumed at any time to “fully reflect” all available information. Various forms of the model have been subjected to extensive empirical testing. The results of these tests have been such that in reviewing the literature on the theory Fama [3] states, “ … the evidence in support of the efficient markets model is extensive, and (somewhat uniquely in economics) contradictory evidence is sparse.” Most of the research, however, has been addressed to the question of whether prices “fully reflect” particular subsets of available information. The validity of these results depends on the extent to which the information in the subset used for testing captures the information actually impounded in prices.

Previous anomaly research may have misinterpreted corrected, for the market index, mean returns on small firms. Assuming mean-variance preferences, it is shown theoretically that corrected mean returns (i.e., market line deviations) are not indicative of the relative desirability of increasing the proportional investment in small firms. The correct improvement criterion is derived and estimated. Tests indicate that the value-weighted market index is not significantly improved with greater weight on small firms, in the average month. When seasonality is considered, the observed performance improvements due to small or large firms are significant in some months, but the required portfolio position is unclear. If a case exists for a small firm anomaly in January, it probably exists in other months and it also exists for large firms. It is doubtful whether such an anomalous stock market exists.

In a recent paper Lloyd and Shick (LS) [4] report empirical results of tests of Stone's [7] two-factor model. Based on a sample of 60 banks and the 30 Dow Jones stocks, LS conclude that their findings generally support Stone's model. That is, an “interest rate risk” proxy appears to explain an additional portion of the variability of the sampled security returns over and above the variability due to an equity market proxy.

China has experienced significant capital flight over the past two decades. Despite anecdotal evidence that some of this capital has been invested in foreign residential markets, not much is known about its destination and impact. We examine the effects of capital inflows from China on residential property prices and the real economy in the USA and global metropolitan areas. We show that inflows had significant effects on residential property markets and employment in regions that i) have strong ethnic ties to China and ii) are destinations of Chinese students. We document spillovers to geographically adjacent regions without strong Chinese links.

Industry analysis has long been a cornerstone in both the academic and professional segments of the investment community. Concepts such as “an industry providing downside protection” or “another is certain to outperform the market” have been prevalent throughout the profession. The importance of industry analysis in terms of stock price changes has been suggested by King, while the influence of the industry factor on corporate earnings changes has been documented by Brown and Ball. These studies and others have indicated that industry analysis has been an important part of security valuation.

Yes. We show that aggregate stock returns predict aggregate U.S. employment, despite the industrial composition of publicly traded firms differing markedly from that of all firms, and the representativeness of public firms declining over time. We also show that appropriately reweighted stock returns predict industry and local labor market outcomes. We find the strongest evidence of an alignment of interests between shareholders and workers in the manufacturing sector, despite its declining labor share of output. Our findings suggest that at quarterly frequencies, product demand shocks are more important drivers of industry- and city-level stock returns than technology shocks.

We examine the predictability of stock returns using implied volatility spreads (VS) from individual (nonindex) options. VS can occur under simple no-arbitrage conditions for American options when volatility is time-varying, suggesting that the VS-return predictability could be an artifact of firms’ sensitivities to aggregate volatility. Examining this empirically, we find that the predictability changes systematically with aggregate volatility and is positively related to the firms’ sensitivities to volatility risk. The alpha generated by VS hedge portfolios can be explained by aggregate volatility risk factors. Our results cannot be explained by firm-specific informed trading, transaction costs, or liquidity.

Analyzing 48 foreign exchange (FX) rates and 1.2 million FX-related news articles over a 35-year period, using digital textual analysis, we find that a currency reversal investment strategy that buys (sells) currencies with low (high) media sentiment offers strong positive and statistically significant returns and Sharpe ratios. The results are robust and the strategy adds value over other currency premia determinants. Analysts’ forecasts systematically mispredict the reversal strategy. This is the first article to show that price reversals based on media sentiment are a well-defined feature of the FX market.

Time variation in the discount rate affects investment and employment decisions in a manner consistent with Q-theory predictions. This evidence is uncovered when using cyclical consumption as a proxy for the discount rate. The results, which are consistent across both U.S. and international data, suggest that firms respond rationally to variations in the cost of capital and that the discount rate has a substantial impact on macroeconomic dynamics and hence business cycle fluctuations.

Numerous papers have shown that developing economies are more volatile. We show that, despite greater aggregate and industry stability, performance and size of individual firms in developed countries are more volatile. In developing countries, market imperfections insulate incumbent firms from competition. Consistent with this, firms in developing countries have higher profit, higher market concentration, and less capital raising. Cross-country differences in operating risk and competition intensity are greater in industries that are dependent on external finance, where we expect higher impacts of capital-market imperfections. We show the inverse relation between aggregate and firm-level volatilities has important implications for international studies of cash holding.

Sophisticated investors frequently choose to publicly disclose private information, a phenomenon inconsistent with most theories of speculation. We propose and test a model to bridge this gap. We show that when a speculator cares about both short-term portfolio value and long-term profit, a disclosure mixing asset fundamentals and her holdings is optimal by inducing competitive dealership to revise prices toward those holdings while alleviating adverse selection. We find that when mutual fund managers have stronger short-term incentives, the frequency of strategic non-anonymous disclosures about their stocks by market-worthy newspaper articles increases and those stocks’ liquidity improves, consistent with our model.

The appropriate set of parameters determining the volatility of the value of a portfolio of fixed cash flows of arbitrary maturities is the covariance matrix of unexpected interest rate changes over the term. Equilibrium models of the term structure limit the rank of the covariance matrix and implicitly impose restrictions on covariance estimation. The “full information” approach to risk measurement imposes only time stationarity assumptions on covariance matrix estimators and can result in sample matrices of full rank. Hilliard and Jordan (1989) develop a structured full rank covariance matrix that depends on only two parameters. This paper tests the Hilliard-Jordan model using likelihood ratios and criteria of forecast accuracy.

The concept that corporate investment-growth decisions are constrained by a profit opportunities schedule is central to much of the literature on finance and the theory of the firm. These writings suggest that, for a single firm: (1) the profit opportunities schedule is a decreasing function of investment growth (the slope reflecting, inter alia, competitive conditions); (2) the schedule shifts to the right with changes in national income (except for a firm producing income-inferior goods), and (3) the schedule's position (intercept) at a moment in time reflects a host of factors that are summarized by the term “management.”