All Guts,No Glory: Trading and Diversification among Online Investors

I explore cross‐sectional portfolio performance in a sample containing 324,736 transactions conducted by 16,831 Swedish investors at an Internet discount brokerage firm during the period May 1999 to March 2002. On average, investors hold undiversified portfolios, show a strong preference for risk, and trade aggressively. I measure performance using a panel data model, and explain the cross‐sectional variation using investors' turnover, portfolio size and degree of diversification. I find that turnover is harmful to performance due to fees, and is therefore more predominant among investors with small portfolios. I argue that the degree of diversification is a proxy for investor skill, and it has a separate and distinct positive effect on performance. Investors underperform the market by about 8.5% per year on average, of which half can be attributed to trading costs.     

Banks' noninterest income and securities holdings in a low interest rate environment: The case of Italy

Using a sample of 440 Italian banks over the period 2007–2016, we find that low interest rates motivate banks to expand their fee and commission income and to restructure their securities portfolios. A granular breakdown suggests that banks grow noninterest income in various ways, including portfolio management, brokerage and consultancy services and increase fee income from current account and payment services. In addition, banks rebalance securities portfolios away from those “held for trading” to securities “available for sale” and “held to maturity.” Our findings allude to different behavior between large and small banks: while larger banks increase brokerage, consultancy and portfolio management services, smaller banks generate fees from customer current accounts.     

Adverse selection,brokerage coverage,and trading activity on the Tokyo Stock Exchange

Limit-order trading mechanisms, corporate ownership structure, and incentive structures in the Japanese brokerage industry differ from those in the US in several important ways. This paper exploits these differences to examine the joint and cross-sectional determinants of adverse selection costs, brokerage coverage, and trading activity for a large sample of Japanese firms traded on the Tokyo Stock Exchange. We find that adverse selection costs are associated with firm characteristics but not with ownership characteristics, which implies that adverse selection costs are affected by inside trading rather than inside holdings. We also find that while brokerage coverage reduces adverse selection costs, higher adverse selection costs lead more brokerage firms to enter the market because of the greater profit potential. Finally, we find that causality also runs both ways between brokerage coverage and trading volume: brokerage coverage increases trading volume and trading volume increases brokerage coverage.     

Trade Generation, Reputation, and Sell-Side Analysts

This paper examines the trade‐generation and reputation‐building incentives facing sell‐side analysts. Using a unique data set I demonstrate that optimistic analysts generate more trade for their brokerage firms, as do high reputation analysts. I also find that accurate analysts generate higher reputations. The analyst therefore faces a conflict between telling the truth to build her reputation versus misleading investors via optimistic forecasts to generate short‐term increases in trading commissions. In equilibrium I show forecast optimism can exist, even when investment‐banking affiliations are removed. The conclusions may have important policy implications given recent changes in the institutional structure of the brokerage industry.     

Correlated Trading and Location

This paper analyzes the trading behavior of stock market investors. Purchases and sales are highly correlated when we divide investors geographically. Investors who live near a firm's headquarters react in a similar manner to releases of public information. We are able to make this identification by exploiting a unique feature of individual brokerage accounts in the People's Republic of China. The data allow us to pinpoint an investor's location at the time he or she places a trade. Our results are consistent with a simple, rational expectations model of heterogeneously informed investors.     

Financial analysts and price discovery

We show that whether or not a bank/brokerage firm has top‐rated financial analysts and high Wall Street Search rankings for their research is significantly related to that firm's contribution to price discovery, the process by which information is incorporated into stock prices. Our study relates cross‐sectional characteristics of the quality of brokerage research, the asymmetric information environment, and order flow volume to a microstructure measure of price discovery developed by Granger and Gonzalo. We measure analysts’ research quality with an industry‐specific ranking by institutional investors, with an opinion survey of trading desk personnel, and with the number of top 3 analysts across all industries employed by the bank/brokerage firm.     

The Effect of Crossing‐Network Trading on Dealer Market's Bid‐Ask Spreads

This article provides new insights into market competition between traditional exchanges and alternative trading systems in Europe. It investigates the relationship between the trading activity of a crossing network (CN) and the liquidity of a traditional dealer market (DM) by comparing data from the SEAQ quote‐driven segment of the London Stock Exchange (LSE) and internal data from the POSIT crossing network. A cross‐sectional analysis of bid‐ask spreads shows that DM spreads are negatively related to CN executions. Risk‐sharing benefits from CN trading dominate fragmentation and cream‐skimming costs. Further, risk‐sharing gains are found to be related to dealer trading in the CN.     

Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach

We use Markov Chain Monte Carlo (MCMC) methods for the parameter estimation and the testing of conditional asset pricing models. In contrast to traditional approaches, it is truly conditional because the assumption that time variation in betas is driven by a set of conditioning variables is not necessary. Moreover, the approach has exact finite sample properties and accounts for errors‐in‐variables. Using S&P 500 panel data, we analyse the empirical performance of the CAPM and the Fama and French (1993) three‐factor model. We find that time‐variation of betas in the CAPM and the time variation of the coefficients for the size factor (SMB) and the distress factor (HML) in the three‐factor model improve the empirical performance. Therefore, our findings are consistent with time variation of firm‐specific exposure to market risk, systematic credit risk and systematic size effects. However, a Bayesian model comparison trading off goodness of fit and model complexity indicates that the conditional CAPM performs best, followed by the conditional three‐factor model, the unconditional CAPM, and the unconditional three‐factor model.     

Informed Trading through the Accounts of Children

This study shows that the guardians behind underaged accounts are successful at picking stocks. Moreover, they tend to channel their best trades through the accounts of children, especially when they trade just before major earnings announcements, large price changes, and takeover announcements. Building on these results, we argue that the proportion of total trading activity through underaged accounts (labeled BABYPIN) should serve as an effective proxy for the probability of information trading in a stock. Consistent with this claim, we show that investors demand a higher return for holding stocks with a greater likelihood of private information, proxied by BABYPIN.     

Taxes and the growth in mutual funds: Evidence from OBRA 93

In recent years, individuals have steadily moved from direct ownership of equities to holding securities through mutual funds. Prior research has attributed this phenomenon to tax incentives to hold mutual funds in tax-preferred retirement accounts. In contrast, employing household-level microdata and using OBRA 93 as a quasi-natural experimental setting, we find that on average, investors reduced their mutual fund holdings within tax-preferred accounts following a tax rate increase. However, we also observe that this effect is primarily driven by investors with relatively high trading activity within their tax-preferred accounts; investors exhibiting relatively low trading activity generally increased their mutual fund investments in these accounts after OBRA 93. Investors who increased their mutual fund holdings did not do so by rebalancing away from other asset classes. Collectively, our results suggest that taxes are not driving the growth in mutual funds. This finding has important public policy implications because of the growing popularity of using mutual funds as a retirement savings vehicle, the dwindling number of individuals covered by defined benefit plans, the dramatic increase in the importance of mutual funds as a financial intermediary, and the continued state of flux in U.S. tax policy.     

Are Investors Reluctant to Realize Their Losses?

I test the disposition effect, the tendency of investors to hold losing investments too long and sell winning investments too soon, by analyzing trading records for 10,000 accounts at a large discount brokerage house. These investors demonstrate a strong preference for realizing winners rather than losers. Their behavior does not appear to be motivated by a desire to rebalance portfolios, or to avoid the higher trading costs of low priced stocks. Nor is it justified by subsequent portfolio performance. For taxable investments, it is suboptimal and leads to lower after-tax returns. Tax-motivated selling is most evident in December.     

Looking for Someone to Blame: Delegation,Cognitive Dissonance,and the Disposition Effect

We analyze brokerage data and an experiment to test a cognitive dissonance based theory of trading: investors avoid realizing losses because they dislike admitting that past purchases were mistakes, but delegation reverses this effect by allowing the investor to blame the manager instead. Using individual trading data, we show that the disposition effect—the propensity to realize past gains more than past losses—applies only to nondelegated assets like individual stocks; delegated assets, like mutual funds, exhibit a robust reverse‐disposition effect. In an experiment, we show that increasing investors' cognitive dissonance results in both a larger disposition effect in stocks and a larger reverse‐disposition effect in funds. Additionally, increasing the salience of delegation increases the reverse‐disposition effect in funds. Cognitive dissonance provides a unified explanation for apparently contradictory investor behavior across asset classes and has implications for personal investment decisions, mutual fund management, and intermediation.     

Adaptive Learning in an Expectational Difference Equation with Several Lags: Selecting among Learnable REE

It is demonstrated that adaptive learning in the least squares sense may be incapable of satisfactorily reducing the number of attainable equilibria in a rational expectations model when focusing on the forward‐solutions to the model. The model examined, as an illustration, is a basic asset pricing model for exchange rate determination that is augmented with technical trading in the currency market in the form of moving averages since it is the most commonly used technique according to questionnaire surveys. The forward‐solutions to such a model are preferable to the backward‐solutions that are normally utilized since announcement effects is an important feature in currency trade. Because of technical trading in foreign exchange, the current exchange rate depends on j _max lags of the exchange rate, meaning that the model has j _max+1 rational expectations equilibria, where several of them are adaptively learnable in the least squares sense. However, since past exchange rates should not affect the current exchange rate when technical trading is absent, it is possible to single out a unique equilibrium among the adaptively learnable equilibria that is economically meaningful. It is worth noting that the model examined can also be viewed as a model for stock price determination in which the forward‐solutions to the model are preferable to the backward‐solutions since the importance of announcement effects is a common characteristic for currency and stock markets.     

The Market for Equity Options in the 1870s

The introduction of exchange-traded options in 1973 led to explosive growth in the stock options market, but put and call options on equity securities have existed for more than a century. Prior to the listing of option contracts, trading was conducted in an order-driven over-the-counter market. From 1873 to 1875, quotes for options contracts were published weekly in The Commercial and Financial Chronicle during a period that saw extensive marketing efforts by a number of brokerage firms. In this article we examine these quotes to determine why this seemingly sophisticated market existed for only a brief period in financial history.     

The coverage assignments of financial analysts

Previous studies document that forecast accuracy impacts analyst career outcomes. This paper investigates the influence of forecast accuracy on coverage assignments. I show that brokerage houses reward accurate analysts by assigning them to high-profile firms and penalise analysts exhibiting poor accuracy by assigning them to smaller firms. The coverage of high-profile firms increases the potential for future compensation linked to investment banking and trading commissions. In addition, covering such firms increases analysts' recognition from buy-side investors, which, in turn, increases the likelihood of obtaining broker votes and votes for the Institutional Investor star ranking. Overall, my results indicate that high forecast accuracy leads to increased future compensation.     

VOLATILITY FORECASTS,TRADING VOLUME,AND THE ARCH VERSUS OPTION‐IMPLIED VOLATILITY TRADE‐OFF

We investigate empirically the role of trading volume (1) in predicting the relative informativeness of volatility forecasts produced by autoregressive conditional heteroskedasticity (ARCH) models versus the volatility forecasts derived from option prices, and (2) in improving volatility forecasts produced by ARCH and option models and combinations of models. Daily and monthly data are explored. We find that if trading volume was low during period t?1 relative to the recent past, ARCH is at least as important as options for forecasting future stock market volatility. Conversely, if volume was high during period t?1 relative to the recent past, option‐implied volatility is much more important than ARCH for forecasting future volatility. Considering relative trading volume as a proxy for changes in the set of information available to investors, our findings reveal an important switching role for trading volume between a volatility forecast that reflects relatively stale information (the historical ARCH estimate) and the option‐implied forward‐looking estimate.     

Peer Effects in the Trading Decisions of Individual Investors

This study examines for evidence of peer effects in the trading decisions of individual investors from Mainland China, a country whose cultural and social structures are vastly different from those of Western countries. Cultural differences, as widely documented, play a significant role in social interactions and word-of-mouth behavior. In contrast to US studies, we find robust evidence that the trading decisions of Chinese investors are influenced, via word of mouth, by those of their peers who maintain brokerage accounts at the same branch, but not by those whose accounts are maintained at another branch located in the same city.     

Differences in the Cost of Trade Execution Services on Floor-Based and Electronic Futures Markets

This paper provides new evidence on the impact of electronic trading on brokerage commissions by investigating a sample period that covers the period of transition from floor to electronic trading on the Sydney Futures Exchange. After controlling for liquidity, volatility and broker identity, the introduction of electronic trading remains to be associated with lower brokerage commissions relative to floor markets. The study also provides new evidence on brokerage commissions in futures markets finding that commission fees charged on futures trades average 0.002% of transaction value. This is up to 120 times smaller than the magnitude of brokerage fees charged in stock markets, and considerably lower than the magnitude of brokerage fees assumed for futures markets in previous research. Consistent with existing studies based on stock markets, commissions charged per contract decrease with order size reflecting economies of scale in the provision of brokerage services in futures markets. Commission rates are positively related to bid-ask spreads and price volatility, which proxy for the probability of execution error costs and execution difficulty, respectively. Finally, the identity of the broker is found to be a significant determinant of commissions reflecting different pricing schedules across brokers.     

The informativeness of brokerage reports: Privately-circulated versus publicly-disseminated news

Using the brokerage analyst reports released from 2014 to 2019, this paper examines the effects of the information role of brokerage firms and the information transmission role of the media on investor trading activity in the Taiwan stock market. Trading activity in the market can be categorized by investor types, including retail investors and institutional investors (foreign institutions, mutual funds, and broker dealers). This paper reviews the “buy the rumor, sell the news” trading strategy, which refers to institutional investors acting as early-informed traders and exhibiting short-term profit-taking characteristics. Notably, mutual funds have the best informational advantage among institutional investors, whose trading activities are significantly and positively related to the abnormal returns around the release of brokerage reports. On the other hand, retail investors may follow the trading activity of institutional investors without making a significant profit. The empirical findings are robust to include several firm and market characteristics. Overall, the empirical results provide in-depth insights into the regulation of brokerage analyst report disclosures.     

Retail Trading and IPO Returns in the Aftermarket

Using trade size from the Trade and Quote (TAQ) data set as a proxy for individual versus institutional trading, this paper finds that the effects of trading of these two types of investors on initial public offering (IPO) returns on the first trading day depend on the hotness of the IPO. My regression results reveal that IPOs’ open-to-close returns are positively related to small trade participation, small trade purchases, and small trade order imbalance in the hot IPO sample, but not in the cold and neutral IPO samples. In addition, the aftermarket prices of cold and neutral IPOs are primarily driven by the trading of institutional investors, who are less likely to be driven by sentiment.