共查询到20条相似文献，搜索用时 15 毫秒
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2013年9月,国际清算银行发布了《三年一度中央银行调查报告——2013年4月全球外汇交易统计初步结果》。通过与历年报告比较分析发现,近年来,全球外汇交易量显著增加：主要贷币交易量变化各异;外汇交易向主要金融中心汇浆趋势明显;人民币离岸外汇交易量激增,虽已成为全球第九大外汇交易贷币,但与其他主要贷币相比,交易量仍然较小。上述变化与特点,对中国积极推进人民币跨境使用和建设上海国际金融中心具有重要参考价值。 相似文献
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In India, National Stock Exchange directly identifies algorithmic trading participation. Algorithmic traders possess intraday market timing skills. Results are not motivated by extreme short-term signals or transitory price trading. Magnitude of market timing performance in cross-sectional group of traders shows that they earn profit across all the cases, and maximize while providing liquidity. Volume-weighted-average-price decomposition analysis reports algorithmic traders earn profits through intraday market timing performance for five-minute and one-minute intervals, and it is higher compared to short-term market timing performance across all trader groups. Order imbalance and price delay regressions show that algorithmic trading significantly improves price efficiency. 相似文献
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The increasing volume of messages sent to the exchange by algorithmic traders stimulates a fierce debate among academics and practitioners on the impacts of high-frequency trading (HFT) on capital markets. By comparing a variety of regression models that associate various measures of market liquidity with measures of high-frequency activity on the same dataset, we find that for some models the increase in high-frequency activity improves market liquidity, but for others, we get the opposite effect. We indicate that this ambiguity does not depend only on the stock market or the data period, but also on the used HFT measure: the increase of high-frequency orders leads to lower market liquidity whereas the increase in high-frequency trades improves liquidity. We hypothesize that the observed decrease in market liquidity associated with an increasing level of high-frequency orders is caused by a rise in quote volatility. 相似文献
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Germán Creamer 《Quantitative Finance》2013,13(4):401-420
We propose a multi-stock automated trading system that relies on a layered structure consisting of a machine learning algorithm, an online learning utility, and a risk management overlay. Alternating decision tree (ADT), which is implemented with Logitboost, was chosen as the underlying algorithm. One of the strengths of our approach is that the algorithm is able to select the best combination of rules derived from well-known technical analysis indicators and is also able to select the best parameters of the technical indicators. Additionally, the online learning layer combines the output of several ADTs and suggests a short or long position. Finally, the risk management layer can validate the trading signal when it exceeds a specified non-zero threshold and limit the application of our trading strategy when it is not profitable. We test the expert weighting algorithm with data of 100 randomly selected companies of the S&P 500 index during the period 2003–2005. We find that this algorithm generates abnormal returns during the test period. Our experiments show that the boosting approach is able to improve the predictive capacity when indicators are combined and aggregated as a single predictor. Even more, the combination of indicators of different stocks demonstrated to be adequate in order to reduce the use of computational resources, and still maintain an adequate predictive capacity. 相似文献
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Shengnan Li Edward P. K. Tsang John O'Hara 《International Journal of Intelligent Systems in Accounting, Finance & Management》2022,29(2):86-102
We introduce a new approach in measuring relative volatility between two markets based on the directional change (DC) method. DC is a data-driven approach for sampling financial market data such that the data are recorded when the price changes have reached a significant amplitude rather than recording data under a predetermined timescale. Under the DC framework, we propose a new concept of DC micro-market relative volatility to evaluate relative volatility between two markets. Unlike the time-series method, micro-market relative volatility redefines the timescale based on the frequency of the observed DC data between the two markets. We show that it is useful for measuring the relative volatility in micro-market activities (high-frequency data). 相似文献
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This paper studies the impact of high-frequency trading (HFT) on intraday liquidity of CAC40 stocks listed on Euronext. Spreads display an intraday L-shaped pattern, while quoted depth follows an inverse pattern: low at the open and increasing towards the end of the trading day. When liquidity demand is particularly high, there is a high rate of order cancellations attributable to high-frequency traders who use frequent order cancellations to strategically manage their limit orders and close positions near the market close. Using the generalized method of moments estimator, we generate strong evidence that greater intensity of HFT is associated with lower spreads and higher depth. The positive effect of HFT on liquidity is due mainly to decreased adverse selection costs arising from asymmetric information among market participants. 相似文献
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2008年2月26日,中国外汇交易中心发布2007年度银行间外汇市场优秀做市商、优秀会员和优秀交易员名单。根据此次评选,中国建设银行荣获最佳交易规范奖、交易优秀奖两个奖项,该行交易员张乐、刘汉涛被评为优秀交易员。该行在积极参与外汇市场发展的同时,也注重自身外汇业务核心竞争力的提升,将培养行内外汇业务人才和优化外汇业务系统作为塑造自身核心竞争力的重要方面。 相似文献
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Technology and innovation have been the driving forces behind financialization across the globe. One such technological advent, in the pursuit for minimizing the risk and maximizing the return and in order to adhere to the financial sector changes, is Algorithmic Trading (AT). Though AT is being used extensively across the world, there is a lack of academic research on the evidence of AT in most of the markets. The lack of evidence stems from the ambiguity in definitions of AT and High Frequency Trading (HFT) and their usage interchangeably. The lack of evidence also hinders the understanding and interpretation of the impact of ever-increasing unprecedented growth in the velocity of financial transactions on the social machinery of global economies. We take advantage of the clear definition and identification of AT in the Indian equity market to provide evidence of AT and interpreting it as the transaction velocity element of financialization. We also attempt to decipher the impact of AT, symbolizing the transaction velocity element of financialization, on the price discovery process. 相似文献
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2008年2月26日,中国外汇交易中心发布2007年度银行间外汇市场优秀做市商、优秀会员和优秀交易员名单。根据此次评选,花旗银行荣获交易优秀奖、衍生产品交易优秀奖、外币对优秀做市商三个奖项,该行交易员姚振华被评为优秀交易员。该行在衍生产品交易和外币对的做市交易中表现尤其突出,本刊特此采访了花旗银行（中国）有限公司副行长、司库莫兆鸿先生、资金交易总监尤炯先生。 相似文献
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The extant literature has typically measured the impact of high frequency algorithmic trading (HFT) on short term outcomes, in seconds or minutes. We focus on outcomes of concern for longer term non-algorithm investors. We find in some cases HFT increases volatility arising from news relating to fundamentals. Furthermore HFT is associated with the transmission of that volatility across industries, and that transmission is based on short term correlations. Finally, we find that the period since the introduction of algorithmic trading (AT) has seen increases in both the variances and covariances of return volatility in most industries. However increases in the variances has not been uniform in that it has fallen sharply in a few industries. The magnitudes are such that, overall, AT has coincided with reduced return volatility variance. 相似文献
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相比国际外汇市场,我国非银行金融机构参与外汇市场程度较低,这与外汇市场长期以来坚持实需交易原则有关,可考虑从适度放开自营交易、丰富产品等方面拓宽非银行金融机构参与外汇市场。 相似文献
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In this article, we tackle the problem of a market maker in charge of a book of options on a single liquid underlying asset. By using an approximation of the portfolio in terms of its vega, we show that the seemingly high-dimensional stochastic optimal control problem of an option market maker is in fact tractable. More precisely, when volatility is modeled using a classical stochastic volatility model—e.g. the Heston model—the problem faced by an option market maker is characterized by a low-dimensional functional equation that can be solved numerically using a Euler scheme along with interpolation techniques, even for large portfolios. In order to illustrate our findings, numerical examples are provided. 相似文献
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In this paper we examine the question of whether knowledge of the information contained in a limit order book helps to provide economic value in a simple trading scheme. Given the greater information content of the order book, over simple price information, it might naturally be expected that the order book would dominate. Using Dollar Sterling tick data, we find that despite the in-sample statistical significance of variables describing the structure of the limit order book in explaining tick-by-tick returns, they do not consistently add significant economic value out-of-sample. We show this using a simple linear model to determine trading activity, as well as a model-free genetic algorithm based on price, order flow, and order book information. We also find that the profitability of all trading rules based on genetic algorithms dropped substantially in 2008 compared to 2003 data. 相似文献
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For stocks traded on the Hong Kong Exchange, the median of five prices taken over the last minute of trading is currently chosen as the closing price. We introduce a stochastic control formulation to target such a median benchmark in an empirically justified model which takes the key microstructural features into account. We solve this problem by providing an explicit and efficient algorithm which even has applications beyond this paper as it can be used for the dynamic linear approximation of any square-integrable random variable. Implementing the algorithm on the stocks of the Hang Seng Index, we find an average improvement of around 6% in standard deviation of slippage compared to an average trader’s execution. We conclude by providing a novel decomposition of the trading risk into that which is intrinsic to the median benchmark and that due to execution. 相似文献
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This paper provides a review of the literature on high‐frequency trading and discusses various initiatives taken by regulatory authorities around the world to address its potential detrimental effects on market quality and investor welfare. Empirical evidence to date generally suggests that high‐frequency trading has improved market quality during normal times. What is not clear is the role of high‐frequency traders during episodic periods of market crash and extreme volatility. A fruitful area of future research may be a comparative analysis of the role of high‐frequency traders and the efficacy of various regulatory initiatives across periods of varying market conditions. 相似文献
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We propose a model for decomposing a volume series based on the Fast Fourier Transform (FFT) algorithm. By setting a threshold for the power spectrum, the model extracts the periodic and nonperiodic components from the original volume series and then predicts them. By analyzing samples from four major stock indices, we find that a too small threshold and a too large threshold cause negative effects on the performance of the FFT model. Appropriate thresholds are found at approximately the 93rd to 95th percentile for the four indices studied. The out‐of‐sample experiment for the 50 stocks of the Shanghai 50 Composite Index shows that the FFT model is superior to the classic moving average model in terms of both volume prediction and Volume‐weighted Average Price (VWAP) tracking accuracy. Meanwhile, for almost all of the 50 stocks, the FFT model outperforms the Bialkowski et al. ( 2008 ) model in terms of volume‐prediction accuracy. The two models perform comparably in terms of the VWAP tracking error. 相似文献
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我国现行算法歧视的法律治理存在两个弊端,分别是算法歧视规制范围过宽和算法歧视规制工具的凌乱。弊端的消除应当追溯至歧视概念本身,通过区分歧视的法律维度和道德维度,呈现算法歧视的两副面孔。第一副面孔是“算法偏见”,在语义上采用法律维度的歧视,对其治理旨在解决算法当中的历史偏见问题,适用反歧视法的规制原理,对算法设计者和算法应用者施加基于社会法的结果义务;第二副面孔是“算法不平等”,在语义上采用道德维度的歧视,对其治理旨在解决信息时代的资源分配问题。对于“算法不平等”,既要尊重私法自治又要削弱潜在歧视风险,法律规制除了事后司法救济外还可以采取事中方案,通过价值维度和信任维度,对算法设计者和算法应用者施以适度的负担。 相似文献
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《The British Accounting Review》2023,55(4):101146
This paper examines the impact of algorithmic trading (AT) on investors' incentives to initiate block ownership in U.S. public companies. We find that a one standard deviation change in AT activity reduces the block ownership initiation likelihood by 3.5%. Using the SEC's randomised tick size pilot experiment in 2016 as a negative shock to AT, we show that the effect of AT on block ownership initiation is causal. Further evidence supports the information-hindering explanation that AT discourages sophisticated investors from acquiring information, which results in a decrease in block ownership initiation. We find that the effect of AT is more pronounced among information-sensitive investors and that institutional investors reduce their information-gathering activities in AT-targeted stocks. Additional tests exploring information-based trading behaviour in the presence of AT provide strong evidence to support the explanation of information-hindering, and our results hold across a battery of robustness tests. 相似文献