We seek a discussion about the most suitable feedback control structure for stock trading under the consideration of proportional transaction costs. Suitability refers to robustness and performance capability. Both ar...We seek a discussion about the most suitable feedback control structure for stock trading under the consideration of proportional transaction costs. Suitability refers to robustness and performance capability. Both are tested by considering different one-step ahead prediction qualities, including the ideal case （perfect price-ahead prediction）, correct prediction of the direction of change in daily stock prices and the worst-case （wrong price rate sign-prediction at all sampling intervals）. Feedback control structures are partitioned into two general classes： stochastic model predictive control （SMPC） and genetic. For the former class, three controllers are discussed, whereby it is distinguished between two Markowitz- and one dynamic hedging-inspired SMPC formulation. For the latter class, five trading algorithms are disucssed, whereby it is distinguished between two different moving average （MA） based strategies, two trading range （TR） based strategies, and one strategy based on historical optimal （HistOpt） trajectories. This paper also gives a preliminary discussion about how modified dynamic hedging-inspired SMPC formulations may serve as alternatives to Markowitz portfolio optimization. The combinations of all of the eight controllers with five different one-step ahead prediction methods are backtested for daily trading of the 30 components of the German stock market index DAX for the time period between November 27, 2015 and November 25, 2016.展开更多
Price volatility in stock market brings potential profile positions to the traders. How to predict the direction of the stock market or stock price becomes the primary job for traders＇ trading model. We are looking f...Price volatility in stock market brings potential profile positions to the traders. How to predict the direction of the stock market or stock price becomes the primary job for traders＇ trading model. We are looking for the direction of the market in a given timeframe. High-frequency traders will consider the potential profile-out position in millisecond level. Long-term holder will look into month time scale. For most of average traders, the ideal timeframe will be on daily base. In this paper, for a non-news trading day, the author will introduce statistics method to predict the stock prices and bid-ask spread for day trading.展开更多
Temporal colored Petri nets, an extension of temporal Petri nets, areintroduced in this paper. It can distinguish the personality of individuals (tokens), describeclearly the causal and temporal relationships between ...Temporal colored Petri nets, an extension of temporal Petri nets, areintroduced in this paper. It can distinguish the personality of individuals (tokens), describeclearly the causal and temporal relationships between events in concurrent systems, and representelegantly certain fundamental properties of concurrent systems, such as eventuality and fairness.The use of this method is illustrated with an example of modeling and formal verification of anonline stock trading system. The functional correctness of the modeled system is formally verifiedbased on the temporal colored Petri net model and temporal assertions. Also, some main properties ofthe system are analyzed. It has been demonstrated sufficiently that temporal colored Petri nets canverify efficiently some time-related properties of concurrent systems, and provide both the powerof dynamic representation graphically and the function of logical inference formally. Finally,future work is described.展开更多
This paper examines the relationship between accrual components and stock trading costs in China and finds that both abnormal and normal accruals are associated with these costs. Moreover, negative accruals, both abno...This paper examines the relationship between accrual components and stock trading costs in China and finds that both abnormal and normal accruals are associated with these costs. Moreover, negative accruals, both abnormal and normal, have a greater influence on stock trading costs than positive accruals because of short-selling constraints in the Chinese stock market. Further analysis reveals that investors who are fixated on accruals are unable to separate positive or negative abnormal accruals from earnings in general.Additionally, investors overestimate the persistence of both positive and negative normal accruals. These findings constitute further evidence of the low degree of market efficiency in China. Chinese investors seem to overestimate firm value when abnormal and normal accruals are positive and underestimate it when they are negative, thus leading to an asymmetric effect on trading costs between positive and negative accruals in the face of short-selling constraints in the Chinese stock market.展开更多
Securities regulators formulated the risk-control mechanism prior to launch of stock index futures in China For three years Wang Liangguang, an experienced stock investor, waited patiently for the trading of stock ind...Securities regulators formulated the risk-control mechanism prior to launch of stock index futures in China For three years Wang Liangguang, an experienced stock investor, waited patiently for the trading of stock index futures. And now, that day展开更多
The Shanghai Lan Sheng Corp., which used to be called the Shanghai Stationery and Sporting Goods Import and Export Company, touched off great repercussions in the international mass media and among its counterparts af...The Shanghai Lan Sheng Corp., which used to be called the Shanghai Stationery and Sporting Goods Import and Export Company, touched off great repercussions in the international mass media and among its counterparts after it was renamed after its general manager Zhang Lansheng and its stocks were listed for transactions on展开更多
In coping with the global financial crisis, all levels of the Chinese government and foreign trade firms have not only created new practices but have also changed their goal from transforming the growth pattern of for...In coping with the global financial crisis, all levels of the Chinese government and foreign trade firms have not only created new practices but have also changed their goal from transforming the growth pattern of foreign trade to transforming the development pattern of joreign trade. China＇s experience shows that economic instruments such as Net Barter Terms of Trade （NBTT） and the smile curve theory have limitations when it comes to interpreting foreign trade. If used improperly, scientific theories often lead to.fallacies. Transjbrming the development pattern of China＇s .foreign trade requires the following changes： national income distribution, foreign trade competition, market exploration, and resource utilization. We advise that competent authorities create a reasonable and operational system of assessment indicators.展开更多
Using data of newly opened stock trading accounts in China as a proxy of investor sentiment index, the authors employ the time-varying copula-GARCH model with Hansen＇s skewed Student-t innovations to investigate the ...Using data of newly opened stock trading accounts in China as a proxy of investor sentiment index, the authors employ the time-varying copula-GARCH model with Hansen＇s skewed Student-t innovations to investigate the dynamic dependence between investor sentiment and stock returns. The empirical findings show that shifts in investor sentiment are asymptotically positively correlated to stock returns in extreme value situations in both A shares market and B shares market in China, that is to say, stock prices will increase （decrease） more when investors become more bullish （bearish）. Also, results show that the dependence between investor sentiment and stock returns is time-varying, which means that the traditional Pearson＇s correlation based on normal distribution is not enough to describe the relationship between stock market behavior and investor behavior.展开更多
In an effort to tame the frenzied stock market last year,the China Securities Regulatory Commission（CSRC）implemented a＂circuit breaker＂mechanism to mitigate the impact of future fluctuations.The mechanism started ...In an effort to tame the frenzied stock market last year,the China Securities Regulatory Commission（CSRC）implemented a＂circuit breaker＂mechanism to mitigate the impact of future fluctuations.The mechanism started operating on January 4,but was subsequently responsible for the early end of the first day of trading in 2016.展开更多
文摘We seek a discussion about the most suitable feedback control structure for stock trading under the consideration of proportional transaction costs. Suitability refers to robustness and performance capability. Both are tested by considering different one-step ahead prediction qualities, including the ideal case （perfect price-ahead prediction）, correct prediction of the direction of change in daily stock prices and the worst-case （wrong price rate sign-prediction at all sampling intervals）. Feedback control structures are partitioned into two general classes： stochastic model predictive control （SMPC） and genetic. For the former class, three controllers are discussed, whereby it is distinguished between two Markowitz- and one dynamic hedging-inspired SMPC formulation. For the latter class, five trading algorithms are disucssed, whereby it is distinguished between two different moving average （MA） based strategies, two trading range （TR） based strategies, and one strategy based on historical optimal （HistOpt） trajectories. This paper also gives a preliminary discussion about how modified dynamic hedging-inspired SMPC formulations may serve as alternatives to Markowitz portfolio optimization. The combinations of all of the eight controllers with five different one-step ahead prediction methods are backtested for daily trading of the 30 components of the German stock market index DAX for the time period between November 27, 2015 and November 25, 2016.
文摘Price volatility in stock market brings potential profile positions to the traders. How to predict the direction of the stock market or stock price becomes the primary job for traders＇ trading model. We are looking for the direction of the market in a given timeframe. High-frequency traders will consider the potential profile-out position in millisecond level. Long-term holder will look into month time scale. For most of average traders, the ideal timeframe will be on daily base. In this paper, for a non-news trading day, the author will introduce statistics method to predict the stock prices and bid-ask spread for day trading.
文摘Temporal colored Petri nets, an extension of temporal Petri nets, areintroduced in this paper. It can distinguish the personality of individuals (tokens), describeclearly the causal and temporal relationships between events in concurrent systems, and representelegantly certain fundamental properties of concurrent systems, such as eventuality and fairness.The use of this method is illustrated with an example of modeling and formal verification of anonline stock trading system. The functional correctness of the modeled system is formally verifiedbased on the temporal colored Petri net model and temporal assertions. Also, some main properties ofthe system are analyzed. It has been demonstrated sufficiently that temporal colored Petri nets canverify efficiently some time-related properties of concurrent systems, and provide both the powerof dynamic representation graphically and the function of logical inference formally. Finally,future work is described.
基金sponsored by the National Natural Science Foundation of China(grant number:7097207571202075)
文摘This paper examines the relationship between accrual components and stock trading costs in China and finds that both abnormal and normal accruals are associated with these costs. Moreover, negative accruals, both abnormal and normal, have a greater influence on stock trading costs than positive accruals because of short-selling constraints in the Chinese stock market. Further analysis reveals that investors who are fixated on accruals are unable to separate positive or negative abnormal accruals from earnings in general.Additionally, investors overestimate the persistence of both positive and negative normal accruals. These findings constitute further evidence of the low degree of market efficiency in China. Chinese investors seem to overestimate firm value when abnormal and normal accruals are positive and underestimate it when they are negative, thus leading to an asymmetric effect on trading costs between positive and negative accruals in the face of short-selling constraints in the Chinese stock market.
文摘Securities regulators formulated the risk-control mechanism prior to launch of stock index futures in China For three years Wang Liangguang, an experienced stock investor, waited patiently for the trading of stock index futures. And now, that day
文摘The Shanghai Lan Sheng Corp., which used to be called the Shanghai Stationery and Sporting Goods Import and Export Company, touched off great repercussions in the international mass media and among its counterparts after it was renamed after its general manager Zhang Lansheng and its stocks were listed for transactions on
文摘In coping with the global financial crisis, all levels of the Chinese government and foreign trade firms have not only created new practices but have also changed their goal from transforming the growth pattern of foreign trade to transforming the development pattern of joreign trade. China＇s experience shows that economic instruments such as Net Barter Terms of Trade （NBTT） and the smile curve theory have limitations when it comes to interpreting foreign trade. If used improperly, scientific theories often lead to.fallacies. Transjbrming the development pattern of China＇s .foreign trade requires the following changes： national income distribution, foreign trade competition, market exploration, and resource utilization. We advise that competent authorities create a reasonable and operational system of assessment indicators.
基金supported by the National Natural Science Foundation of China under Grant No.70821001
文摘Using data of newly opened stock trading accounts in China as a proxy of investor sentiment index, the authors employ the time-varying copula-GARCH model with Hansen＇s skewed Student-t innovations to investigate the dynamic dependence between investor sentiment and stock returns. The empirical findings show that shifts in investor sentiment are asymptotically positively correlated to stock returns in extreme value situations in both A shares market and B shares market in China, that is to say, stock prices will increase （decrease） more when investors become more bullish （bearish）. Also, results show that the dependence between investor sentiment and stock returns is time-varying, which means that the traditional Pearson＇s correlation based on normal distribution is not enough to describe the relationship between stock market behavior and investor behavior.
文摘In an effort to tame the frenzied stock market last year,the China Securities Regulatory Commission（CSRC）implemented a＂circuit breaker＂mechanism to mitigate the impact of future fluctuations.The mechanism started operating on January 4,but was subsequently responsible for the early end of the first day of trading in 2016.
