 This paper characterizes the trailing-stop strategy for stock trading and provides a simulation model to evaluate its validity. Based on a discrete time computational model, we perform probabilistic analyses of the risks, rewards and trade-offs of such a trading strategy. Numerical examples using real data from the S&P 500 and the Dow Jones Industrial Average indicate that the trailing-stop s...

This study explores the relationship between qualified foreign institutional investors (QFIIs) and Taiwan’s stock market and evaluates the effect of QFIIs’ investment transactions on Taiwan’s stock market. By taking the date of easing regulatory restrictions on foreigners’ stock investment holdings as a cutoff point, the research uses the highest and lowest 10 stocks of QFII holdings in three i...

This paper presents a model of portfolio choice and stock trading volume with lossaverse investors. The demand function for risky assets is discontinuous and non-monotonic: as wealth rises beyond a threshold investors follow a generalized portfolio insurance strategy. This behavior is consistent with the evidence in favor of the disposition effect. In addition, loss-averse investors will not ho...

There are numerous studies suggesting that published news stories have an important effect on the direction of the stock market, its volatility, the volume of trades, and the value of individual stocks mentioned in the news. There is even some published research suggesting that automated sentiment analysis of news documents, quarterly reports, blogs and/or Twitter data can be productively used ...

Taking advantage of a unique corporate bond transaction dataset from the National Association of Securities Dealers (NASD), this paper investigates whether information-based trading takes place in the high-yield corporate bond market, and how firm-specific information flow across related securities, including stocks, options and corporate bonds. Differing from previous studies, I find that curr...

in this study, the profitability of contrarian and momentum strategies were traded in mid- term based on trading volume. the stocks were categorized into three parts (high, middle and low) at the outset. then, the relationship between excess return with three components such as cross-sectional risk, lead-lag effect and time-series pattern were examined based on jegadeesh and titman approach.the...

this research analyze the resource and structure of cross-autocorrelation in returns and volatility of stocks that listed in the tehran stock exchange during the period farvardin 1382–eisfand 1386, with employing the garch model. at the first, the results show that, in down(bear) market, return on high trading volume portfolio lead return on low trading volume portfolio, when controlled for fir...

OPTIMAL PAIRS TRADING RULES by Eric Mueller The University of Wisconsin-Milwaukee, 2016 Under the Supervision of Professor Chao Zhu This thesis derives an optimal trading rule for a pair of historically correlated stocks. When one stock's price increases and the other one's decreases, a trade of the pair is triggered. The idea is to short the winner and to long the loser with the hope that the ...

I study a simple market microstructure model in a competitive setting where rational risk neutral investors anticipate becoming liquidity sellers (they are forced to sell with a certain probability) and paying transaction costs (adverse selection costs as well as fixed and/or proportional cost) at some future date. To buy stocks in the IPO they must be compensated for expected future trading lo...

Preference markets address the need for scalable, fast and engaging market research. For faster new product development decisions, we implement a flexible prioritization methodology for product features and concepts, one that scales up in the number of testable alternatives, limited only by the number of participants. Preferences are measured by trading stocks whose prices are based upon share ...