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1.
Xinhui Yang Jie Zhang Qing Ye 《International Journal of Intelligent Systems in Accounting, Finance & Management》2020,27(3):125-141
This paper investigates the way that minimum tick size affects market quality based on an agent‐based artificial stock market. Our results indicate that stepwise and combination systems can promote market quality in certain aspects, compared with a uniform system. A minimal combination system performed the best to improve market quality. This is the first study to analyse tick size systems that remain at the theory stage and compare four types of system under the same experimental environment. The results suggests that a minimal combination system could be considered a new direction for market policy reform to improve market quality. 相似文献
2.
Xinyang Li Andreas Krause 《International Journal of Intelligent Systems in Accounting, Finance & Management》2011,18(1):1-14
We evaluate an agent‐based model featuring near‐zero‐intelligence traders operating in a call market with a wide range of trading rules governing the determination of prices and which orders are executed, as well as a range of parameters regarding market intervention by market makers and the presence of informed traders. We optimize these trading rules using a multi‐objective population‐based incremental learning algorithm seeking to maximize the trading volume and minimize the bid–ask spread. Our results suggest that markets should choose a small tick size if concerns about the bid–ask spread are dominating and a large tick size if maximizing trading volume is the main aim. We also find that unless concerns about trading volume dominate, time priority is the optimal priority rule. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
3.
Ross M. Miller 《International Journal of Intelligent Systems in Accounting, Finance & Management》2012,19(3):179-188
The computational tractability of many markets with computerized agents requires they be subject to boundary conditions that are both unnecessary and undesirable in markets with humans. In particular, double‐auction markets with zero‐intelligence agents, which are a standard baseline in computational economics, constrain all bids, offers and trade prices to lie between an upper and a lower bound. This paper shows how changes in these boundary conditions influence pricing and efficiency. It is found that boundary conditions consistent with competitive pricing are generally inconsistent with the most efficient operation of those markets. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
4.
This article examines the martingale difference hypothesis (MDH) and the random walk hypothesis (RWH) for nine conventional and nine Islamic stock indices: Asia-Pacific, Canadian, Developed Country, Emerging, European, Global, Japanese, UK, and United States. It investigates whether Islamic stock indices are more, less, or as efficient as their conventional counterparts. We test four sub-periods of bullish and bearish stock markets, together with the financial meltdown and its recovery, over the period 1997–2012. We use the Escanciano and Lobato’s (2009) automatic portmanteau test (AQ) and Deo’s (2000) test for the MDH. We also apply the automatic variance ratio test (AVR) developed by Choi (1999) and Kim (2009) for the RWH. Over the period from 1997 to 2012, we find that three conventional indices (Europe, Japan, and UK) are efficient, but that none of the Islamic indices are efficient in these markets. During the recent financial crisis, our results indicate slightly more efficiency for the Islamic indices than their conventional counterparts. Our study finds that overall the conventional indices are more efficient than their Islamic counterparts. Nevertheless, during periods of general downturns the Islamic indices have shown the same level of efficiency as their counterparts. Furthermore, it appears that during the last two sub-periods under study, the Islamic indices have moved toward efficiency, displaying the same level of efficiency as their counterparts. 相似文献
5.
The main intention of this paper is to investigate, with new daily data, whether prices in the two Chinese stock exchanges (Shanghai and Shenzhen) follow a random‐walk process as required by market efficiency. We use two different approaches, the standard variance‐ratio test of Lo and MacKinlay (1988) and a model‐comparison test that compares the ex post forecasts from a NAÏVE model with those obtained from several alternative models: ARIMA, GARCH and the Artificial Neural Network (ANN). To evaluate ex post forecasts, we utilize several procedures including RMSE, MAE, Theil's U, and encompassing tests. In contrast to the variance‐ratio test, results from the model‐comparison approach are quite decisive in rejecting the random‐walk hypothesis in both Chinese stock markets. Moreover, our results provide strong support for the ANN as a potentially useful device for predicting stock prices in emerging markets. 相似文献
6.
Using monthly data from 1953 to 2003, we apply a real‐time modeling approach to investigate the implications of U.S. political stock market anomalies for forecasting excess stock returns in real‐time. Our empirical findings show that political variables, chosen on the basis of widely used model‐selection criteria, are often included in real‐time forecasting models. However, political variables do not contribute systematically to improving the performance of simple trading rules. For this reason, political stock market anomalies are not necessarily an indication of market inefficiency. 相似文献
7.
Steve Phelps Wing Lon Ng 《International Journal of Intelligent Systems in Accounting, Finance & Management》2014,21(1):39-58
We model the financial market using a class of agent‐based models in which agents’ expectations are driven by heuristic forecasting rules (in contrast to the rational expectations models used in traditional theories of financial markets). We show that, within this framework, we can reproduce unifractal scaling with respect to three well‐known power laws relating (i) moments of the absolute price change to the time‐scale over which they are measured, (ii) magnitude of returns with respect to their probability and (iii) the autocorrelation of absolute returns with respect to lag. In contrast to previous studies, we systematically analyse all three power laws simultaneously using the same underlying model by making observations at different time‐scales and higher moments. We show that the first two scaling laws are remarkably robust to the time‐scale over which observations are made, irrespective of the model configuration. However, in contrast to previous studies, we show that herding may explain why long memory is observed at all frequencies. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
8.
Unlike most of the existing literature on the weather effect, we conducted our analysis by employing intraday weather and market data, examining a large set of stocks rather than indices only, including volume and volatility data in the study and inspecting a wide number of weather variables (temperature, humidity, pressure, visibility, wind, cloud, rain and snow). Our analysis covered the Italian stock market for the period August 2005–March 2014 for a total of 2201 trading days. We conclude that no systematic relationship seems to exist between the weather and the Italian stock market. Moreover, our results raise doubts that testing the weather effect by limiting the analysis to indices only can lead to spurious conclusions. 相似文献
9.
Gishan Dissanaike 《Journal of Business Finance & Accounting》2002,29(1&2):139-154
Dissanaike (1997) found a long-term winner-loser effect in the UK, within a sample of large (FT500) companies. However, he did not investigate as to whether there was a size effect within his sample, nor did he check to see if it subsumed his winner-loser effect. We find evidence of a size effect within the FT500 sample, and the size and winner-loser effects are not unrelated. But, there is no evidence to suggest that the size effect subsumes the winner-loser effect. 相似文献
10.
Monira Essa Aloud 《International Journal of Intelligent Systems in Accounting, Finance & Management》2020,27(2):43-54
In financial trading, technical and quantitative analysis tools are used for the development of decision support systems. Although these traditional tools are useful, new techniques in the field of machine learning have been developed for time‐series forecasting. This paper analyses the role of attribute selection on the development of a simple deep‐learning ANN (D‐ANN) multi‐agent framework to accomplish a profitable trading strategy in the course of a series of trading simulations in the foreign exchange market. The paper evaluates the performance of the D‐ANN multi‐agent framework over different time spans of high‐frequency (HF) intraday asset time‐series data and determines how a set of the framework attributes produces effective forecasting for profitable trading. The paper shows the existence of predictable short‐term price trends in the market time series, and an understanding of the probability of price movements may be useful to HF traders. The results of this paper can be used to further develop financial decision‐support systems and autonomous trading strategies for the financial market. 相似文献
11.
Exploiting the near-experimental conditions provided by the GBPUSD exchange rate during the Brexit vote of 2016, we quantify a significant delay of the market price in reflecting the increasing probability of a Brexit outcome over the vote counting period. We claim that the Brexit outcome could realistically have been predicted hours before the market adjusted to the outcome. This inefficiency is identified by comparing the market-implied probability of a Brexit outcome with a separate probability, estimated by a standard Monte-Carlo algorithm based on a simple linear regression model, representative of what should have been easily possible in real time. The core of the method is the real-time re-calibration of ex-ante ‘pollster’ predictions for the voting district outcomes by regressing the observed voting results onto them. For comparative purposes, a study of the MXNUSD exchange rate in the 2016 US Presidential Election was done, finding that the market-implied and model-estimated probabilities moved more consistently toward the Trump outcome. Put together, this identifies a somewhat anomalous breakdown in market efficiency in the case of the Brexit vote, which we attribute to its novelty as well as a kind of political bubble and subsequent crash, generated by confirmation bias and social herding. 相似文献
12.
Abstract: Conflicting evidence on weak form efficiency of the Dhaka Stock Market appears to stem from the use of monthly versus daily data, structural changes after the 1996 market crash, and the use of tests with or without heteroscedasticity adjustment. Heteroscedasticity‐robust tests indicate short‐term predictability of share prices prior to the crash, but not afterwards. Although a heteroscedasticity‐robust Box‐Pierce test was used by Lo and MacKinlay (1989) in their simulations, our study appears to be the first to apply this test to stock prices. Typical rejection of weak‐form market efficiency by the usual autocorrelation tests may be reversed by a heteroscedasticity‐robust test. 相似文献
13.
Pawel Miłobędzki 《European Journal of Finance》2013,19(5):345-352
The paper focuses on the problem of predictability of stock market returns with disequilibrium trading. It is shown that the predictability of returns may be the consequence of quantity constraints appearing in the markets due to the imposition of administrative restrictions on trade. A relevant test of predictability for the Warsaw Stock Exchange (WSE) based on information referring to disequilibrium states occurrence is proposed. The empirical results of its application to the WSE on a sample containing session-to-session observations from the period January 1995 to December 1999 strongly support the hypothesis of predictability. 相似文献
14.
A股个股回报率的惯性与反转 总被引：1，自引：0，他引：1
本文在已有文献基础上系统研究A股个股回报率的惯性与反转现象。本文发现,A股个股回报率在多个时间频率上存在明显的反转,而惯性仅在超短期的日回报率和特定时段的周回报率上存在。本文还发现,交易量对于惯性和反转有显著影响,反转发生的时间有缩短的倾向,且价格变化的速度有随时间推移而加快的倾向。上述发现表明我国A股市场不满足弱有效市场假说,但是表现出一些不同于发达国家市场的规律,且规律随着时间而变化。 相似文献
15.
Gishan Dissanaike 《Journal of Business Finance & Accounting》1997,24(1):27-50
This paper investigates the evidence on the stock market overreaction hypothesis (ORH), which holds that, if stock prices systematically overshoot as a consequence of excessive investor optimism or pessimism, price reversals should be predictable from past price performance. The ORH stands in contradiction to the efficient markets hypothesis which is a cornerstone of financial economics. This study is unique in the overreaction literature because it is restricted to larger and better-known listed companies, whose shares are more frequently traded. This restriction more or less eliminates two alternative explanations to the overreaction hypothesis: it minimises the influence of bid-ask biases and infrequent trading, and reduces the possibility that reversals are primarily a small-firm phenomenon. The paper also investigates a third alternative explanation, namely that time-varying risk explains the reversal effect. The study employs unbiased methods of return computation and uses data from 1975 to 1991 for nearly 1,000 UK companies. Overall, the evidence appears to be consistent with the overreaction hypothesis, subject to certain qualifications. 相似文献
16.
We present the results of two efficiency measures that include intraday return predictability measure based on order imbalance and measures of several variance ratio tests on intraday subsamples of nine major Indian agricultural commodity futures (castor seed, cotton oil cake, rape mustard seed, soybean, refined soya oil, crude palm oil, jeera, chana, and turmeric) quoted in the National Commodity and Derivatives Exchange (NCDEX). We perform the efficiency measures on five subsamples with holding periods of 5, 10, 15, 30, and 60 min over two sample periods following the announcement of the merger between the Forward Market Commission (FMC) and Securities Exchange Board of India (SEBI). We compare results of tests of weak-form market efficiency of futures markets between two periods (pre-merger period and post-merger period). Our results confirm that Indian agricultural commodity futures markets continue to remain inefficient in the short-term during both pre-merger and post-merger periods. Based on these findings, it is likely that profitable trading strategies in the short intraday intervals will be available for traders and market participants during post-merger period. Thus, regulators must focus more on policy initiative so as to enhance market quality in order to address such inefficiencies in Indian commodity futures markets. 相似文献
17.
Jason F. Nicholls Andries P. Engelbrecht 《International Journal of Intelligent Systems in Accounting, Finance & Management》2019,26(3):117-136
The profitability of trading rules evolved by three different optimised genetic programs, namely a single population genetic program (GP), a co‐operative co‐evolved GP, and a competitive co‐evolved GP is compared. Profitability is determined by trading thirteen listed shares on the Johannesburg Stock Exchange (JSE) over a period of April 2003 to June 2008. An empirical study presented here shows that GPs can generate profitable trading rules across a variety of industries and market conditions. The results show that the co‐operative co‐evolved GP generates trading rules perform significantly worse than a single population GP and a competitively co‐evolved GP. The results also show that a competitive co‐evolved GP and the single population GP produce similar trading rules. The profits returned by the evolved trading rules are compared to the profit returned by the buy‐and‐hold trading strategy. The evolved trading rules significantly outperform the buy‐and‐hold strategy when the market trends downwards. No significant difference is identified among the buy‐and‐hold strategy, the competitive co‐evolved GP, and single population GP when the market trends upwards. 相似文献
18.
Burton G. Malkiel 《The Financial Review》2005,40(1):1-9
In recent years financial economists have increasingly questioned the efficient market hypothesis. But surely if market prices were often irrational and if market returns were as predictable as some critics have claimed, then professionally managed investment funds should easily be able to outdistance a passive index fund. This paper shows that professional investment managers, both in The U.S. and abroad, do not outperform their index benchmarks and provides evidence that by and large market prices do seem to reflect all available information. 相似文献
19.
Saki Kawakubo Kiyoshi Izumi Shinobu Yoshimura 《International Journal of Intelligent Systems in Accounting, Finance & Management》2014,21(2):105-128
We propose a two‐market model in which an option market and its underlying market interact. Many artificial markets representing stock markets have been developed, and these models have been actively used to investigate the effects of market rules. However, no artificial market model for derivatives has been intensively studied, even though derivative markets are increasingly important. We tested stylized facts that can be observed in an option market and our model can replicate fat‐tailed distributions, positive skew of the return and positive autocorrelation of the square of return of implied volatility. We found that the speed of volatility mean reversion for fundamentalists and the existence of chartists are important factors for replicating the positive skew of an option market. The value of fat‐tailed distributions and positive skewness of the return get closer to the real value by coupling an option market and an underlying market. Copyright © 2014 John Wiley & Sons, Ltd. 相似文献
20.
Erdinc Akyildirim Duc Khuong Nguyen Ahmet Sensoy Mario Šikić 《European Financial Management》2023,29(1):22-75
Borsa Istanbul introduced data analytics to present additional information about its market conditions. We examine whether this product can be utilized via various machine learning methods to predict intraday excess returns. Accordingly, these analytics provide significant prediction ratios above 50% with ideal profit ratios that can reach up to 33%. Among all the methods considered, XGBoost (logistic regression) performs better in predicting excess returns in the long-term analysis (short-term analysis). Results provide evidence for the benefits of both the analytics and the machine learning methods and raise further discussion on the semistrong market efficiency. 相似文献