Local market makers, liquidity and market quality

We examine the role of geographically proximate (local) market makers in providing liquidity and improving the quality of a dealer market. Firms with active participation of local dealers enjoy lower quoted and effective spreads, as well as more informative prices. The beneficial effects from local market makers are not confined to a few “top” local dealers and they cannot be attributed to their participation in the firm's IPO syndicate or industry specialization. Further, we find that days with aggressive bidding from local market makers relative to their non-local counterparts are associated with significant positive abnormal returns, consistent with local market makers possessing information advantages. In summary, our results suggest that the information advantages of local market makers may be a contributing factor to the reduction in the cost of trading.     

夯实做市商制度建设协力推进外汇市场发展

近年来,外汇市场汇价波幅逐步有序拓宽,而面对不断扩大的汇率波幅,一些做市机构的交易员出现了不适应的情况。文章指出,外汇做市商制度的切实履行和健全完善,对于规范做市交易与市场良性交易氛围的形成和推广,具有至关重要的作用。文章介绍了我国外汇市场建立做市商制度的目的、所采取的相关配套制度改革,展望做市商考评机制的改进方向,并就进一步规范外汇市场发展提出相关倡议。     

Tick size,market structure,and market quality

Large tick sizes imposed on high-priced stocks on the Korea Stock Exchange (KSE) are significant binding constraints on bid-ask spreads. Nearly 60% of quoted spreads are equal to the tick size for stocks with the largest tick size and more than 87% of quoted spreads are equal to the tick size for stocks in the largest size portfolio. We also show that the average spread of KSE stocks with large tick sizes is greater than that of matched NYSE stocks, whereas the average spread of KSE stocks with the smallest tick size is smaller than the corresponding figure for the matched NYSE stocks. We interpret these results as evidence that traders on the KSE are paying large trading costs because of the artificially imposed large tick sizes.     

Impact of stock market trading on currency market volatility spillovers

This research aims to detect the volatility linkages among various currencies during operating and non-operating hours of three major stock markets (Tokyo, London and New York) by employing bivariate VAR-BEKK-GARCH model in selected currency pairs. In particular, the aim is to analyze whether the major stock markets have a differential impact on volatility linkages in currency markets. The results indicate that volatility linkages in intraday are far stronger then in daily results. One remarkable result is that rather than major currencies, some minor and exotic currencies play a leading role in volatility transmission during trading hours of major stock markets.     

Fractal market time

Ané and Geman (2000) observed that market returns appear to follow a conditional Gaussian distribution where the conditioning is a stochastic clock based on cumulative transaction count. The existence of long range dependence in the squared and absolute value of market returns is a ‘stylized fact’ and researchers have interpreted this to imply that the stochastic clock is self-similar, multi-fractal (Mandelbrot, Fisher and Calvet, 1997) or mono-fractal (Heyde, 1999). We model the market stochastic clock as the stochastic integrated intensity of a doubly stochastic Poisson (Cox) point process of the cumulative transaction count of stocks traded on the New York Stock Exchange (NYSE). A comparative empirical analysis of a self-normalized version of the stochastic integrated intensity is consistent with a mono-fractal market clock with a Hurst exponent of 0.75.     

Intra-day market activity

This paper presents a study of intra-day patterns of stock market activity and introduces duration based activity measures for single stocks and multiple assets. The proposed measures involve weighted durations, i.e. times necessary to sell (buy) a predetermined volume or value of stocks. As such, they capture dependencies between intra-trade durations, transaction volumes and prices, and can be interpreted as liquidity measures. This approach allows us to highlight the intra-day variations of liquidity, its costs and volatility, and to develop a liquidity based asset ordering. The extension to a multivariate analysis yields new insights into the dynamics of portfolio liquidity by revealing various aspects of asset substitution, including the effects of correlated trade intensities of portfolio components. Several examples are used to show that in practice, the proposed liquidity measures become efficient instruments for strategic block trading and optimal portfolio adjustments. The paper also contains an empirical study of asset activity on the Paris Bourse. We examine the liquidity dynamics throughout the day and reveal the existence of periodic patterns resulting from world-wide interactions of major stock markets. In the multivariate setup, we report evidence on common patterns and correlations of trade intensities of selected stocks.     

Rediscovering market segmentation

In 1964, Daniel Yankelovich introduced in the pages of HBR the concept of nondemographic segmentation, by which he meant the classification of consumers according to criteria other than age, residence, income, and such. The predictive power of marketing studies based on demographics was no longer strong enough to serve as a basis for marketing strategy, he argued. Buying patterns had become far better guides to consumers' future purchases. In addition, properly constructed nondemographic segmentations could help companies determine which products to develop, which distribution channels to sell them in, how much to charge for them, and how to advertise them. But more than 40 years later, nondemographic segmentation has become just as unenlightening as demographic segmentation had been. Today, the technique is used almost exclusively to fulfill the needs of advertising, which it serves mainly by populating commercials with characters that viewers can identify with. It is true that psychographic types like "High-Tech Harry" and "Joe Six-Pack" may capture some truth about real people's lifestyles, attitudes, self-image, and aspirations. But they are no better than demographics at predicting purchase behavior. Thus they give corporate decision makers very little idea of how to keep customers or capture new ones. Now, Daniel Yankelovich returns to these pages, with consultant David Meer, to argue the case for a broad view of nondemographic segmentation. They describe the elements of a smart segmentation strategy, explaining how segmentations meant to strengthen brand identity differ from those capable of telling a company which markets it should enter and what goods to make. And they introduce their "gravity of decision spectrum", a tool that focuses on the form of consumer behavior that should be of the greatest interest to marketers--the importance that consumers place on a product or product category.     

Forecasting market states

We propose a novel methodology to define, analyze and forecast market states. In our approach, market states are identified by a reference sparse precision matrix and a vector of expectation values. In our procedure, each multivariate observation is associated to a given market state accordingly to a minimization of a penalized Mahalanobis distance. The procedure is made computationally very efficient and can be used with a large number of assets. We demonstrate that this procedure is successful at clustering different states of the markets in an unsupervised manner. In particular, we describe an experiment with one hundred log-returns and two states in which the methodology automatically associates states prevalently to pre- and post-crisis periods with one state gathering periods with average positive returns and the other state periods with average negative returns, therefore discovering spontaneously the common classification of ‘bull’ and ‘bear’ markets. In another experiment, with again one hundred log-returns and two states, we demonstrate that this procedure can be efficiently used to forecast off-sample future market states with significant prediction accuracy. This methodology opens the way to a range of applications in risk management and trading strategies in the context where the correlation structure plays a central role.     

Generic market models

Currently, there are two market models for valuation and risk management of interest rate derivatives: the LIBOR and swap market models. We introduce arbitrage-free constant maturity swap (CMS) market models and generic market models featuring forward rates that span periods other than the classical LIBOR and swap periods. We develop generic expressions for the drift terms occurring in the stochastic differential equation driving the forward rates under a single pricing measure. The generic market model is particularly apt for pricing of, e.g., Bermudan CMS swaptions and fixed-maturity Bermudan swaptions.     

Stock market aversion? Political preferences and stock market participation

We find that left-wing voters and politicians are less likely to invest in stocks, controlling for income, wealth, education, and other relevant factors. This finding from unique data sets in Finland is robust both at the zip code and at the individual level. A moderate left voter is 17–20% less likely to own stocks than a moderate right voter. The results are consistent with the idea that personal values are a factor in important investment decisions, in this case leading to “stock market aversion.” The results are inconsistent with alternative explanations such as wealth effects, risk aversion, reverse causality, return expectations, or social capital.     

Targeting market neutrality

Neutralizing portfolios from overall market risk is an important part of investment management, particularly for hedge funds. In this paper we show an economically significant improvement in the accuracy of targeting market neutrality for equity portfolios. Key features of the approach are the relatively short forecast horizon of one week and forecasting with realized beta estimators computed using high quality, error corrected, intraday returns. We also find that too long and too short estimation windows result in poor beta forecasts and that the optimal length of estimation window depends on the frequency of return observations.     

Capital market integration

This special issue is dedicated to a topic of great interest in international financial economics — Capital Market Integration. The topic remains live and vigorously examined, as evidenced by the nine papers presented here. These papers divide into three themes: integration and markets, integration and policy, and integration and crisis. Collectively, the papers highlight the importance of market- and policy-induced phenomena for understanding the nature and consequences of capital market integration.     

Global market inefficiencies

Using point-in-time accounting data, we estimate monthly fair values of 25,000+ stocks from 36 countries. A trading strategy based on deviations from fair value earns significant risk-adjusted returns (“alpha”) in most regions, especially Asia-Pacific, that are unrelated to known anomalies. The strategy's 40–70 basis point per month alpha difference between emerging and developed markets contrast with prior research findings. A country's pre-transaction cost alpha is positively related to its trading costs, but exceeds country-specific institutional trading costs. Thus, global equity markets are inefficient, particularly in countries with quantifiable market frictions, like trading costs, that deter arbitrageurs.     

双向市场的趋势投资

有关市场的一个新交易工具，期指准备了十年，希望未来利用双向交易获利的企业一定要记住：我们只是市场趋势的追随者。     

对商业银行创新市场营销的思考

近几年来，在体制转型和机制转换的推动下，市场营销问题越来越受到各家商业银行的高度重视。然而，在具体操作中，一些基层行暴露出重宣传、轻销售，重投入、轻产出，重客户数量、轻客户质量，市场细分不够、目标客户模糊等诸多缺陷和问题。这些问题的出现，说明了一些单位工作创新不够、营销文化建设不到位。因此，在全面推进精细化管理、坚定不移地走质量效益发展之路的过程中，     

Effects of market returns and market volatility on investor risk tolerance

The 2008 credit market debacle and subsequent “Great Recession” accompanied by the stock market crash of 2008 has caused many investors and their advisors to reevaluate their risk tolerance and investment asset allocation choices. Additionally, marketers for many financial institutions and investment advisors are rethinking the strategies and tactics they use for both individual and corporate clients about the level of risk that is appropriate to meet their investment objectives. This research shows that an investor’s risk tolerance is not as stable as it has been portrayed previously in the literature and can be affected by both the direction of movement and the volatility in the market. In addition, this research provides some suggestions on how to frame investment decisions for individual investors to better assess their actual risk tolerance in the face of a volatile market.     

积极参与市场交易共促外汇市场繁荣

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,交通银行荣获最佳交易规范奖、交易优秀奖两个奖项。该行自成为做市商以来,一直严格执行相关法规规定在外汇市场上诚实交易,其规范的做市行为值得肯定;在充分肯定外汇交易中心开展评优活动的同时,该行也对银行间外汇市场的发展提出相关建议。     

The dynamic relationship among the money market mutual funds,the commercial paper market,and the repo market

In this paper, we present the short-run and the long-run relationships among the financial assets of the money market funds, the commercial paper market, and the repurchase agreement market by undertaking a cointegration analysis of quarterly data over the 1985–2017 period. This was based on the empirical observation that the commercial paper and repo markets account for 50 percent of the assets of money market funds. The evidence suggests that there exists a common long-term cointegrating trend among these three components of the shadow banking system. Any disequilibrium in this long-run relationship among these variables is corrected by movement in the financial assets of money market funds. The Beveridge-Nelson decomposition from the estimated cointegrating relationship shows that the cyclical component of money market funds is large and captures huge swings in these markets during the financial crisis. We also find evidence of change in these dynamic relationships in the post-crisis period, where in addition to the money market funds, the commercial paper market also exhibits a tendency to correct for the disequilbrium.     

基于协调的保险市场与资本市场对接模式研究

本文通过比较美、英、日、德四国的对接模式发现,保险市场与资本市场的和谐对接是资金、产品和制度对接三方面的共融体,是金融市场自然演进与风险资本动态规制的最优范式结合。基于此,我国应在经济、金融微观制度基础变迁的基础上适时选择适合我国国情的可操作和可持续的对接模式。