Does internalization diminish the impact of quote aggressiveness on dealer market share?

We analyze data provided by NASDAQ to examine how quote aggressiveness affects dealer market share and whether the practice of internalization mitigates the impact of quote aggressiveness. Our empirical results show that although internalization does not reduce the impact of price aggressiveness on dealer market share, it mitigates the impact of size aggressiveness. This result suggests that although internalization may not affect the dealer's incentive to post aggressive prices, it may reduce the incentive to post large depths. We find that aggressive quotes are more effective in raising dealer market share in stocks with a less competitive (more concentrated) market structure. Our results also show that the effective spread is wider (narrower) for stocks with a smaller price (size) elasticity of dealer market share.     

Empirical Bayes credibility

Abstract

A credibility estimator is Bayes in the restricted class of linear estimators and may be viewed as a linear approximation to the (unrestricted) Bayes estimator. When the structural parameters occurring in a credibility formula are replaced by consistent estimators based on data from a collective of similar risks,we obtain an empirical credibility estimator, which is a credibility counterpart of empirical Bayes estimators. Empirical credibility estimators are proposed under various model assumptions, and sufficient conditions for asymptotic optimality are established.     

Time Varying Market Leverage, the Market Risk Premium and the Cost of Capital

This paper shows that, when as usual the market portfolio is proxied by a share portfolio, then the conventional Ibbotson (1999) estimator of the market risk premium violates Miller–Modigliani (1958 and 1963) propositions II and III. A new estimator of the market risk premium is proposed which is free of these defects. In addition, across the range of market leverages experienced in the US in the period 1952–1997, it generates estimates of the market risk premium that differ from those generated by the Ibbotson methodology by up to 2.5 percentage points, and weighted average costs of capital for firms that differ by up to 2.6 percentage points.     

Semiparametric estimation of multi-asset portfolio tail risk

When correlations between assets turn positive, multi-asset portfolios can become riskier than single assets. This article presents the estimation of tail risk at very high quantiles using a semiparametric estimator which is particularly suitable for portfolios with a large number of assets. The estimator captures simultaneously the information contained in each individual asset return that composes the portfolio, and the interrelation between assets. Noticeably, the accuracy of the estimates does not deteriorate when the number of assets in the portfolio increases. The implementation is as easy for a large number of assets as it is for a small number. We estimate the probability distribution of large losses for the American stock market considering portfolios with ten, fifty and one hundred assets of stocks with different market capitalization. In either case, the approximation for the portfolio tail risk is very accurate. We compare our results with well known benchmark models.     

The market valuation of share repurchases in Europe

We analyze a uniquely constructed data set of open market share repurchases across a sample of European firms. We find that the announcement date market reaction is lower than that in the US, mainly because of (i) the relatively large number of recurring announcements which generate significantly lower returns than the initial announcements of intention to repurchase shares; (ii) the rather low market reaction in France, due probably to specific governance and corporate cultural issues; and (iii) the regulatory reform that allowed UK firms to keep the repurchased shares as treasury stock, which decreased their market impact. Across our countries, taxation, shareholder protection, and the European Union’s Market Abuse Directive do not affect significantly the market valuation of repurchases. Our results imply that ultimately, domestic institutional specificities and reforms play significant roles in the market valuation and popularity of share repurchases.     

Price and Investment Dynamics: Theory and Plant-Level Data

We construct a model of a firm competing for market share in a customer market and making investments in physical capital. The firm is financially constrained and there are implementation lags in investment. Our model predicts that product prices should depend on costs and competitors' prices but respond weakly to demand shocks. Also, prices should be strongly related to investment. We estimate price and investment equations on panel data for Swedish manufacturing plants and find results that are qualitatively in line with these predictions, though the relation between investment and prices is stronger than predicted by our model.     

The dynamics of dealer markets and trading costs

In this study we examine the temporal dynamics of dealer market share and their ramification for competition and trading costs using a large sample of NASDAQ securities. Our results show that although the total market share of the top five dealers is relatively stable over time, there is significant monthly variation in the composition of the top five dealers. We show that market share turbulence among top dealers is another form of competition that narrows bid–ask spreads, especially for stocks with less competitive market structure.     

Why do central banks intervene secretly?: Preliminary evidence from the BoJ

This paper empirically investigates the main determinants of secret interventions in the foreign exchange (FX) market. Using the recent experience of the Bank of Japan, we estimate a model that explains the share of secret to reported interventions in the FX market. Two sets of determinants are clearly identified: the first is related to the probability of detection of the central bank orders by market participants; the second to the central bank's internal decision to opt for secrecy. Our estimations support the arguments of current microstructure theories that rationalize the use of secret interventions.     

股权质押、风险管理与大股东增持

基于2004-2016年A股上市公司样本,本文发现,股权质押会影响上市公司大股东的增持行为,而质押风险管理是股权质押影响大股东增持的潜在渠道。相较于未面临质押预警压力的大股东,面临质押预警压力的大股东更有可能去增持;此外,相较于国有企业,民营企业的大股东在面临质押预警压力时更有可能去增持。在经济后果方面,对于同样面临质押预警压力的大股东而言,选择增持会让上市公司股价在之后有更好的表现。本文认为,除了传统的财务动机等之外,缓解自身质押风险是上市公司大股东增持的另一动机;而除了盈余管理、税收规避等管理质押风险的事前措施外,增持是上市公司大股东管理质押风险的另一有效手段。     

Auditor Size,Market Segmentation and Litigation Patterns: A Theoretical Analysis

We provide a theoretical rationale for the observed audit industry structure where well-capitalized auditors hold an extremely large market share. Our analysis focuses on the economics of trading in an adverse selection market where audit quality is unobservable. We show that concentration of market share can arise even if well-capitalized auditors have no relative advantage with regard to supplying high-quality audits, and that the strategy of attracting a narrow base of high-margin clients is typically unsustainable in rational expectations equilibrium. Other results derived from our analysis of strategic competition for clients also conform (qualitatively) with empirical findings regarding audit fee structures and litigation rates. In particular, we show that better-capitalized auditors get a dominant market share, produce more accurate reports and are more profitable. In addition, we show that the imposition of high minimum standards increases the market power of wealthy auditors, even though smaller auditors can potentially provide the same level of audit quality at lower fees. All these results are demonstrated within a framework that endogenizes both a securities trading market and profit-maximizing auditors who strategically compete for clients.JEL Classification: C72, D43, D82, K23, K41, L15     

Asymmetries in Price‐Setting Behavior: New Microeconometric Evidence from Switzerland

In this paper, we follow the recent empirical literature that has specified reduced‐form models for price setting that are closely tied to (S, s) ‐pricing rules. Our contribution to the literature is twofold. First, we propose an estimator that relaxes distributional assumptions on the unobserved heterogeneity. Second, we use the estimator to examine the prevalence of positive price changes in a low‐inflation environment. Our model estimates suggest that, if inflation falls from 0.9% to zero, the share of positive price changes in all price changes falls from 63.6% to 56.2%.     

Analysis of the intraday effects of economic releases on the currency market

Using four years of second-by-second executed trade data, we study the intraday effects of a representative group of scheduled economic releases on three exchange rates: EUR/USD, JPY/USD, and GBP/USD. Using wavelets to analyze volatility behavior, we empirically show that intraday volatility clusters increase as we approach the time of the releases, and decay exponentially after the releases. Moreover, we compare our results with the results of a poll that we conducted of economists and traders. Finally, we propose a wavelet volatility estimator which is not only more efficient than a range estimator that is commonly used in empirical studies, but also captures the market dynamics as accurately as a range estimator. Our approach has practical value in high-frequency algorithmic trading, as well as electronic market making.     

Information sharing between mutual funds and auditors

This paper examines whether there is information sharing between mutual funds and their auditors about the auditors’ other listed firm clients. Using data from the Chinese market, we find that mutual funds earn higher profits from trading in firms that share the same auditors. The effects are more pronounced when firms have a more opaque information environment and when the audit partners for the fund and the partners for the listed firm share school ties. The evidence is consistent with information flowing from auditors to mutual funds, providing mutual funds with an information advantage in firms that share the same auditors. Our findings are robust to the use of audit-firm mergers and acquisitions (M&As) as exogenous shocks and several other robustness checks. We further find that auditors benefit by charging higher audit fees for mutual fund clients and by improving their audit quality for listed firm clients. Our study provides evidence of bi-directional information sharing between two important market intermediaries.     

Sampling distribution of the relative risk aversion estimator: Theory and applications

Brown and Gibbons (1985) developed a theory of relative risk aversion estimation in terms of average market rates of return and the variance of market rates of return. However, the exact sampling distributions of the relative risk aversion estimators have not been derived. The main purpose of this paper is to derive the exact sampling distribution of an appropriate relative risk aversion estimator. First, we have derived theoretically the density of Brown and Gibbons' maximum likelihood estimator. It is shown that the centralt is not appropriate for testing the significance of estimated relative risk aversion distribution. Then we derived the minimum variance unbiased estimator by a linear transformation of the Brown and Gibbons' maximum likelihood estimator. The density function is neither a central nor a noncentralt distribution. The density function of this new distribution has been tabulated. There is an empirical example to illustrate the application of this new sampling distribution.     

Government size,composition of public expenditure,and economic development

This paper analyzes the effects of government size and of the composition of public expenditure on economic development. Using the system-GMM estimator for linear dynamic panel data models, on a sample covering up to 156 countries and 5-year periods from 1980 to 2010, we find that government size as a percentage of GDP has a quadratic (inverted U-shaped) effect on the growth rate of the Human Development Index (HDI). This effect is especially pronounced in developed and high-income countries. We also find that the composition of public expenditure affects development, with the share of five subcomponents exhibiting nonlinear relationships with HDI growth.     

Estimating the expected marginal rate of substitution: A systematic exploitation of idiosyncratic risk

We develop a methodology to estimate the shadow risk free rate or expected intertemporal marginal rate of substitution, “EMRS”. Our technique relies upon exploiting idiosyncratic risk, since theory dictates that idiosyncratic shocks earn the EMRS. We apply our methodology to recent monthly and daily data sets for the New York and Toronto Stock Exchanges. We estimate EMRS with precision and considerable time-series volatility, subject to an identification assumption. Both markets seem to be internally integrated; different assets traded on a given market share the same EMRS. We reject integration between the stock markets, and between stock and money markets.     

On a nonparametric estimator for ruin probability in the classical risk model

In this paper, we present a nonparametric estimator for ruin probability in the classical risk model with unknown claim size distribution. We construct the estimator by Fourier inversion and kernel density estimation method. Under some conditions imposed on the kernel, bandwidth and claim size density, we present some large sample properties of the estimator. Some simulation studies are also given to show the finite sample performance of the estimator.     

什么决定了利润差异:会计准则还是职业判断?——来自中国A、B股市场的初步证据

我国资本市场有少量的公司同时发行A股和B股,这部分公司需要提供两套财务报表,分别遵循了国内会计准则和国际会计准则。我们以我国会计制度改革的特定时期(1998-2000)为背景,以同时发行A、B 股的公司为样本,经过研究发现,那些同时发行A、B股公司所报告的净利润差异,主要不是来自会计准则,而是来自于会计职业判断;而会计职业判断背后的经济动机在于上市公司为了达到保牌的目的。我们的研究丰富了有关会计准则与会计信息质量之间关系的研究。     

Firm size,information acquisition and price efficiency

We present a model in a competitive market where traders choose between a small and a large firm to acquire costly private information, but they also obtain free public information by observing equilibrium share prices. Our major finding is the existence of a noisy rational expectation competitive equilibrium, in which there are more informed traders of the large firm than those of the small firm. As a result, share prices of the large firm are more informative than those of the small firm. Our empirical study supports the analytical results. By using a bivariate vector autoregressive regression, we are able to conduct a variance decomposition of share prices for different size portfolios. We find that prices of large-size portfolios are more informative because non-value-related price shocks are less important in driving price changes of large-size portfolios than in the case of small-size portfolios.     

基于财务数据的农业股票投资价值研究

在农业板块股票市场中,采用灰色关联度法找出与股票价格相关联的财务指标,并分别建立了对数线性模型与截面数据回归模型检验了每股净资产对股票价格的基础作用。研究结果表明：股票价格与业绩关联性显著,公司财务因素对于股价有着极强的解释能力,每股净资产是股票价格的价值基础。