Income shifting and U.S. international trade in goods statistics

Intrafirm trade represents greater than one-third of total U.S. international trade in goods. Since these are not arm’s-length transactions, trade policymakers have voiced concerns that income shifting may distort international trade in goods statistics through the manipulation of transfer prices. Using country-level data on intrafirm exports and imports, we estimate a path analysis that simultaneously tests how and to what extent tax-motivated transfer pricing and real investment decisions affect intrafirm trade in goods statistics. Contrary to speculation, we do not find an economically significant relation between transfer pricing and intrafirm trade in goods statistics. In contrast, we find that tax-motivated location decisions create a 21 (20) percent or $819.7 ($927.1) million difference in mean intrafirm exports (imports) between the U.S. and a low- and high-tax country. This study provides trade policymakers with relevant information about the extent to which real investment decisions and accounting manipulations affect intrafirm trade in goods statistics and contributes to the international trade and income shifting literatures.     

The Effect of Volume of Intrafirm Transfers on Market Metrics

In this paper, we examine the relationship between international intrafirm area transfers and market metrics as measured by market-to-book value and systematic risk. Intrafirm transfers – the amount that multinational corporations charge one another for the transfer of goods, intellectual property, and services – have become an increasingly important issue for policymaking, managerial, financial, and tax purposes. This paper also examines whether international intrafirm intergeographic area transfers are attributed to corporate tax. We find that firms with a sizable volume of international intrafirm transfers have higher systematic risk than comparable firms without these transfers. We show cross-sectionally that firms engage in international transfers have a higher market-to-book ratio, suggesting that transfers add value through their effect on earnings and taxes. Consistent with Mills and Newberry (2003) and Collins, Kemsley, and Lang (1998), we document that U.S. (global) income tax is positively (negatively) related to intrafirm transfers, implying that U.S. multinational firms shifted taxable income to the United States from 1995 to 1999.     

Interaction of investor trades and market volatility: Evidence from the Tokyo Stock Exchange

This paper examines the relation between market volatility and investor trades by identifying who supplies and demands market liquidity on the Tokyo Stock Exchange. Because the different trading patterns of various investor types such as individual investors, institutional investors, and foreign investors affect market liquidity differently, we find that market volatility fluctuates significantly depending on which investor types participate in trade. We show that market volatility increases by more than 50% from the average level when there are greater buy trades by momentum investors that demand liquidity and there are less sell trades by contrarian (or profit-taking) investors that supply liquidity. On the other hand, volatility dampens by more than 57% when there are greater sell trades by profit-taking investors, mostly by domestic investors, while there are less momentum buy trades.     

Return Volatility,Trading Imbalance and the Information Content of Volume

In this paper, we examine the relationship between volume and return volatility using the transaction data. We introduce transaction and volume imbalance measures to capture the information content of trades. These two information measures are shown to have a strong explanatory power for return volatility and contain incremental information about the asset values over and above that conveyed by the size and frequency of trades. Also, return volatility is significantly correlated with the percentage of trading volume taking place at NYSE. This result suggests that NYSE trades are more informative and contribute more to price discovery. There is evidence that price discovery concentrates in more heavily traded stocks, particularly the Dow Jones Stocks. Finally, return volatility is found to be persistent at the intraday level. The persistence level is higher for less frequently traded stocks. Return volatility also exhibits temporal variations. In particular, return volatility is significantly higher in the opening half-hour for less frequently traded stocks. Thus, stocks with different frequencies of trades may follow different volatility processes.     

On short-term institutional trading skill,behavioral biases,and liquidity need

Are portfolio managers skilled or do they trade too much? Using a marked-to-market based “fair-value” method for measuring fund manager skill, we find that institutional managers can potentially earn +42 (+33) basis points benchmark-adjusted return before transaction costs after a holding period of four weeks on their buy (sell) trades. After transaction costs, the benchmark-adjusted return for the buy (sell) trades is +1 (-8) basis points. Pension fund managers outperform money managers. We are unable to detect evidence for overconfidence among pension fund managers over this short-horizon. In addition, we are unable to find evidence of disposition effect among mutual fund managers. Institutions tend to engage in short-term trades with holding period of four weeks (or less) despite only breaking-even or making economically insignificant (modest) benchmark-adjusted losses after round-trip transaction costs for liquidity, risk-management, or tax-minimization reasons. Among these, evidence for liquidity trading motive is the strongest.     

Strategic trading in the wrong direction by a large institutional insider

Many theoretical papers suggest that large informed traders should make misleading or random trades to disguise their trading. Alternatively, informed traders may trade purely on their estimate of stock value. This paper examines the trading behavior of a large institutional insider that periodically trades in the wrong direction, i.e., makes occasional sell (buy) trades within packages of buy (sell) trades. Using a hand-collected data set, we find that three quarters of the trade packages include wrong-direction trades. Wrong trades appear to be used mostly to disguise right-direction trades. We find that the wrong-trade stocks are larger and have less noisy returns, hence, they lack natural disguise. Wrong trades are relatively small, used to accentuate return volatility, distributed evenly during a package of trades, and are not consistently profitable.     

The Effect of Decimalization on Trade Size and Adverse Selection Costs

Abstract:   We examine adverse selection costs around NYSE decimalization. Further, we analyze the relation between adverse selection costs and trade size. We find a significant increase in the percentage adverse selection cost and a reduction in dollar adverse selection cost (percentage adverse selection multiplied by the spread) following complete decimalization on the NYSE. On estimating the adverse selection components by trade size classes, we find a decline in dollar adverse selection costs in trades of all sizes, with the strongest evidence coming from medium size trades, followed by small and large size trades. One implication of our findings is that there appears to be less stealth trading following complete decimalization and less institutional trading overall.     

Price,trade size,and information in securities markets

This paper investigates the effect of trade size on security prices. We show that trade size introduces an adverse selection problem into security trading because, given that they wish to trade, informed traders perfer to trade larger amounts at any given price. As a result, market makers' pricing strategies must also depend on trade size, with large trades being made at less favorable prices. Our model provides one explanation for the price effect of block trades and demonstrates that both the size and the sequence of trades matter in determining the price-trade size relationship.     

Competition among Trading Venues: Information and Trading on Electronic Communications Networks

This paper explores the competition between two trading venues, Electronic Communication Networks (ECNs) and Nasdaq market makers. ECNs offer the advantages of anonymity and speed of execution, which attract informed traders. Thus, trades are more likely to occur on ECNs when information asymmetry is greater and when trading volume and stock‐return volatility are high. ECN trades have greater permanent price impacts and more private information is revealed through ECN trades than though market‐maker trades. However, ECN trades have higher ex ante trading costs because market makers can preference or internalize the less informed trades and offer them better executions.     

Management earnings forecasts,insider trading,and information asymmetry

We investigate whether senior officers use accrual-based earnings management to meet voluntary earnings disclosure (i.e., management earnings forecasts) before selling or buying their own shares when they have private information. This study is the first to use the differences in timing of trades by senior officers and other insiders (e.g., directors or large shareholders) to infer information asymmetry. We hypothesize that the timing of senior officers' trades with no other insiders' trades at the same time indicates opportunistic trades and asymmetric information between senior officers and other insiders. Our results show that senior officers' exclusive sales are negatively associated with future returns, indicating that they tend to use insider information. Moreover, senior officers are more likely to meet their earnings forecasts when they plan to sell stocks.     

Information-based trading,price impact of trades,and trade autocorrelation

In this study we show that both the price impact of trades and serial correlation in trade direction are positively and significantly related to the probability of information-based trading (PIN). The positive relation remains significant even after controlling for the effects of stock attributes. Higher trading activity (i.e., shorter intervals between trades) induces both larger price impact and stronger positive serial correlation in trade direction. The effect of time interval between trades on quote revision is stronger for stocks with higher PIN values. These results provide direct empirical support for the information models of trade and quote revision.     

Does stardom affect the informativeness of a CEO's insider trades?

This study examines whether the celebrity or star status of a chief executive officer (CEO) affects the informativeness of his insider trades. Using three different measures to identify star CEOs in a sample of S&P 1500 firms, we find that trades of non‐star CEOs predict future abnormal returns and earnings innovations and that trades of star CEOs do not. The predictive power of non‐star CEO trades is mostly attributable to opportunistic trades, not routine trades. We also find evidence suggesting that the abnormal returns associated with non‐star CEO insider trades are due to the lower visibility and consequently less scrutiny of non‐star CEOs compared with star CEOs.     

Insider Trading, News Releases, and Ownership Concentration

This paper investigates the market's reaction to U.K. insider transactions and analyzes whether the reaction depends on the firm's ownership. We present three major findings. First, differences in regulation between the U.K. and United States, in particular the speedier reporting of trades in the U.K., may explain the observed larger abnormal returns in the U.K. Second, ownership by directors and outside shareholders has an impact on the abnormal returns. Third, it is important to adjust for news released before directors' trades. In particular, trades preceded by news on mergers and acquisitions and CEO replacements contain significantly less information.     

Quotes,Prices, and Estimates in a Laboratory Market

This study examines the behavior of laboratory markets in which two uninformed market makers compete to trade with heterogeneously informed investors. The data provide three main results. First, market makers set quotes to protect against adverse selection and to control inventory. Second, when investors are less well-informed, their trades are less reliable measures of their information, and market makers respond to those trades with greater skepticism. Third, errors in market makers' reactions to trades cause the time-series behavior of quotes and prices to depend on the information environment in ways beyond those captured in extant theory.     

Investment in organization capital

We study a firm’s investment in organization capital by analyzing a dynamic model of language development and intrafirm communication. We show that firms with richer internal language (i.e., more organization capital) have lower employee turnover, and higher diversity in skill and wages among incumbents who are promoted from within the firm. Our results also suggest that firms in rapidly changing industries are less likely to invest in organization capital, and are more likely to have high managerial turnover. Finally, our model shows that employment protection regulations lead to more investment in organization capital but less innovation.     

When is inter-transaction time informative?

This paper estimates the role of inter-transaction time in price discovery for 100 NYSE-listed firms between 1993 and 2003. We find faster arriving trades move prices more than slower arriving trades across stocks and across time. We further document that the information content of inter-transaction time varies with trading activity, and is weakest for the most actively traded stocks. We then distinguish trades in the same direction as the previous trade from trades in the reverse direction. Our empirical findings document that inter-transaction time is informative for both types of trades, but in opposite directions. Faster arriving trades in the same direction are more informative, whereas faster arriving trades in opposite directions are less informative.     

Price impact of block trades: the curious case of downstairs trading in the EU emissions futures market

Using high-frequency data from the European Climate Exchange (ECX), we examine the determinants of price impact of €21 billion worth of block trades during 2008–2011 in the European carbon market. We find that wider bid-ask spreads and volatility are characterised by a smaller price impact. Larger levels of price impact are more likely to occur during the middle of the trading day, specifically the four-hour period between 11 a.m. and 3 p.m., than during the first or final hours. Purchase block trades induce a relatively smaller price impact on price run-up, while sell block trades exhibit a larger price impact on price run-up. We conclude that block trades on the ECX induce less price impact than in equity or conventional futures markets, and that a significant proportion of the effects contradict findings on block trades in those markets; thus, we provide the first evidence of the curious bent to block trading in the European Union emissions trading scheme.     

FURTHER EXAMINATION OF PRICE DISCOVERY ON THE NYSE AND REGIONAL EXCHANGES

I re‐examine price discovery on the New York Stock Exchange (NYSE) and regional exchanges. I employ three common‐trend cointegration models to analyze the equilibrium dynamics between the NYSE and regional exchanges for the thirty Dow stocks. The overall results show that whether the regional exchanges free‐ride on the NYSE in obtaining equilibrium prices depends on whether trade prices or quotes are examined. The regional exchanges play a significant (though less important) role in the price‐discovery process for trade prices. However, the contributions of regional exchanges in price discovery of quotes are negligible. I explain the inconsistency between the results using quotes and those using trades. I also highlight the problems of using either quotes or trades in examining this free‐riding hypothesis and suggest future research on the different informativeness of trades on the NYSE and regional exchanges. JEL classification: G20, C32.     

Durations,volume and the prediction of financial returns in transaction time

Traditional microstructural theories of asset pricing emphasize the role of volume as a trend indicator. With the availability of large transaction data sets, one has started recently to incorporate more information of the trades, such as the time between trades, to describe the multivariate dynamics of transactions. Without knowing a priori the relation between the observed components of a trade—price, duration between trades, and volume—one may follow the principle of ‘letting the data speak for themselves’. The goal of this paper is to evaluate the informational content of both volume and durations to predict transaction returns using explorative non-parametric methods. The empirical results for transaction data of IBM stock prices confirm the role of volume as a trend indicator. After a sell (buy) expected returns are decreasing (increasing) with volume and increasing (decreasing) with durations. A.forecasting exercise shows that the superiority of the non-parametric model over simple parameterizations carries over to out-of-sample prediction.     

Insider trading,future earnings,and post-earnings announcement drift

This paper examines the association between insider trading prior to quarterly earnings announcements and the magnitude of the post-earnings announcement drift (PEAD). We conjecture and find that insider trades reflect insiders’ private information about the persistence of earnings news. Thus, insider trades can help investors better understand and incorporate the time-series properties of quarterly earnings into stock prices in a timely and unbiased manner, thereby mitigating PEAD. As predicted, PEAD is significantly lower when earnings announcements are preceded by insider trading. The reduction in PEAD is driven by contradictory insider trades (i.e., net buys before large negative earnings news or net sells before large positive earnings news) and is more pronounced in the presence of more sophisticated market participants. Consistent with investors extracting and trading on insiders’ private information, pre-announcement insider trading is associated with smaller market reactions to future earnings news in each of the four subsequent quarters. Overall, our findings indicate insider trading contributes to stock price efficiency by conveying insiders’ private information about future earnings and especially the persistence of earnings news.