{"title":"BV–VPIN: Measuring the Impact of Order Flow Toxicity and Liquidity on International Equity Markets","authors":"R. Low, Te Li, Terry A. Marsh","doi":"10.21314/JOR.2018.399","DOIUrl":null,"url":null,"abstract":"Order flow toxicity is a measure of a trader's exposure to the risk that counter-parties possess private information or other informational advantages. High levels of order flow toxicity can culminate in market makers providing liquidity at a loss or in suboptimal execution of trades. From a regulatory perspective, high levels of toxicity can be harmful to overall market liquidity and precede precipitous drops in asset prices. Bulk Volume VPIN (BV-VPIN) is one way of measuring the \"toxicity\" component of order flow that has been successfully applied in High Frequency Trading (HFT) environments. We apply the BV-VPIN to daily data for a range of international indices to extend previous analysis of its properties. We find that a rise in BV-VPIN effectively foreshadows high-levels of volatility in the equities indices of several countries. If a BV-VPIN futures contract exists, we show that it would exhibit safe haven characteristics during market downturns. In particular, a simple active portfolio management strategy that times investments in equities (risk-free asset) when BV-VPIN levels are low (high) outperforms a buy-and-hold strategy. Thus, we find support for the application of BV-VPIN in international equities.","PeriodicalId":46697,"journal":{"name":"Journal of Risk","volume":" ","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2018-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Risk","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.21314/JOR.2018.399","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 6
Abstract
Order flow toxicity is a measure of a trader's exposure to the risk that counter-parties possess private information or other informational advantages. High levels of order flow toxicity can culminate in market makers providing liquidity at a loss or in suboptimal execution of trades. From a regulatory perspective, high levels of toxicity can be harmful to overall market liquidity and precede precipitous drops in asset prices. Bulk Volume VPIN (BV-VPIN) is one way of measuring the "toxicity" component of order flow that has been successfully applied in High Frequency Trading (HFT) environments. We apply the BV-VPIN to daily data for a range of international indices to extend previous analysis of its properties. We find that a rise in BV-VPIN effectively foreshadows high-levels of volatility in the equities indices of several countries. If a BV-VPIN futures contract exists, we show that it would exhibit safe haven characteristics during market downturns. In particular, a simple active portfolio management strategy that times investments in equities (risk-free asset) when BV-VPIN levels are low (high) outperforms a buy-and-hold strategy. Thus, we find support for the application of BV-VPIN in international equities.
期刊介绍:
This international peer-reviewed journal publishes a broad range of original research papers which aim to further develop understanding of financial risk management. As the only publication devoted exclusively to theoretical and empirical studies in financial risk management, The Journal of Risk promotes far-reaching research on the latest innovations in this field, with particular focus on the measurement, management and analysis of financial risk. The Journal of Risk is particularly interested in papers on the following topics: Risk management regulations and their implications, Risk capital allocation and risk budgeting, Efficient evaluation of risk measures under increasingly complex and realistic model assumptions, Impact of risk measurement on portfolio allocation, Theoretical development of alternative risk measures, Hedging (linear and non-linear) under alternative risk measures, Financial market model risk, Estimation of volatility and unanticipated jumps, Capital allocation.