Crossing Networks and Dealer Markets: Competition and Performance

This paper studies the interaction between dealer markets and a relatively new form of exchange, passive crossing networks, where buyers and sellers trade directly with one another. We find that the crossing network is characterized by both positive ('liquidity') and negative ('crowding') externalities, and we analyze the effects of its introduction on the dealer market. Traders who use the dealer market as a 'market of last resort' can induce dealers to widen their spread and can lead to more efficient subsequent prices, but traders who only use the crossing network can provide a counterbalancing effect by reducing adverse selection and inventory holding costs.     

The Market Quality of Dealer versus Hybrid Markets: The Case of Moderately Liquid Securities

Abstract:  Over the last decade, electronic limit-order trading systems have been sweeping securities exchanges around the world. This paper studies a transitional case, namely, the commencement of trading of a group of moderately liquid stocks on SETS of the London Stock Exchange. The evidence reveals that the liquidity of those stocks dropped substantially after the introduction of the limit order book and the removal of the market makers' obligations. This transition provides an example that a hybrid market with a limit order book and voluntary dealers may not perform as well as a dealership market with obligatory market makers.     

Profitability of Nonlinear Dynamics Under Technical Trading Rules: Evidence from Pacific Basin Stock Markets

This paper explores a possible link between an asymmetric dynamic process of stock returns and profitable technical trading rules. Using Pacific Basin stock market indexes, we show that the dynamic process of daily index returns is better characterized by nonlinearity arising from an asymmetric reverting property, and that the asymmetric reverting property of stock returns is exploitable in generating profitable buy and sell signals for technical trading rules. We show that the positive (negative) returns from buy (sell) signals are a consequence of trading rules that exploit the asymmetric dynamics of stock returns that revolve around positive (negative) unconditional mean returns under prior positive (negative) return patterns. Our results corroborate the arguments for the usefulness of technical analysis.     

欧盟证券市场的一体化与竞争

欧盟各主要证券交易所之间竞争加剧的同时，合作与联合的趋势正在加强。在今后一段时期内，很可能会形成以巴黎为中心和以伦敦——法兰克福为中心的两大欧盟交易所阵营之间竞争，同时在各阵营内部又是紧密合作或高度一体化的格局。     

Risk Mutualization and Competition in Insurance Markets

The aim of this paper is to analyze the impact of mutual firms on competition in the insurance market. We distinguish two actors in this market: mutual firms, which belong to their pooled members, and traditional companies, which belong to their shareholders. Our approach differs from the literature by one crucial assumption: the expected utility of the consumers depends on the size of their insurance firm, which generates network externalities in this market. Thus, the choice of a contract results in a trade-off between the premium level and the probability of that premium being ex-post adjusted. The optimal contract offered by a mutual firm involves a systematic ex-post adjustment (negative or positive), while the contracts a company offers imply a fixed premium that is possibly negatively adjusted at the end of the contractual period. In an oligopoly game, we show that three types of configurations are possible at equilibrium: either one mutual firm or insurance company is active, or a mixed structure emerges in which two or more companies share the market with or without a mutual firm.     

Competition and Strategic Information Acquisition in Credit Markets

We investigate the interaction between banks’ use of informationacquisition as a strategic tool and their role in promotingthe efficiency of credit markets when a bank’s abilityto gather information varies with its distance to the borrower.We show that banks acquire proprietary information both to softenlending competition and to extend their market share. As competitionincreases, investments in information acquisition fall, leadingto lower interest rates but also to less efficient lending decisions.Consistent with the recent wave of bank acquisitions, we alsofind that merging for informational reasons with a competitoris an optimal response to industry consolidation.     

Information Acquisition Under Uncertainty in Credit Markets

This article studies information acquisition through investmentin improved risk assessment technology in competitive creditmarkets. A technology has two attributes: its ability to screenin productive borrowers, and its ability to screen out unproductiveborrowers. The two attributes have fundamentally different effectson acquisition incentives and the structure of equilibrium informationalexternalities between lenders. The article also studies howuncertainty associated with the quality of superior technologyaffects information acquisition incentives. Uncertainty influencesinformation acquisition even with risk-neutral banks. Increaseduncertainty may raise or dampen incentives, depending on whetheruncertainty is, respectively, about screening out or screeningin quality.     

Dynamics of Private and Public Real Estate Markets

Using five assets (T-bills, bonds, stocks, and both public and private real estate), this study investigates how cointegration of capital markets affects the dynamics of public and private real estate markets. The results show that the price indices of the five assets are nonstationary and cointegrated. Some implications for the long-term equilibrium relationship for portfolio diversification, price discovery and prediction are discussed. In a Granger causality framework, error-correction augmented VAR models (VECM) and unrestricted VAR models are compared with respect to the conclusion regarding the interaction between public and private real estate returns. VECM is also shown to improve the prediction of private real estate returns relative to an unrestricted VAR model. These results raise questions about previous research studies regarding the dynamics between public and private real estate returns. It is shown that the long-term equilibrium relationship establishes a feedback between the two real estate markets, but the private market seems to informationally lead the public one. Possible explanations are also explored.     

Correlation Dynamics in East Asian Financial Markets

We examine the dynamic relationship between stock returns and exchange rate changes using daily data from January 1994 to September 2013 for six East Asian countries. We use the multivariate GARCH-DCC model in order to disclose the relationship between stock markets and foreign exchange markets which is important for understanding financial stability. The estimation results reveal time varying correlations in the pre- and post-Asian crisis and the Global Financial Crisis periods for all countries. The correlations are stronger when the crisis intensifies. The degree of interdependence between both markets reflects a mutual markets response to shocks and changes in policy.     

Chaos and Nonlinear Dynamics: Application to Financial Markets

After the stock market crash of October 19, 1987, interest in nonlinear dynamics, especially deterministic chaotic dynamics, has increased in both the financial press and the academic literature. This has come about because the frequency of large moves in stock markets is greater than would be expected under a normal distribution. There are a number of possible explanations. A popular one is that the stock market is governed by chaotic dynamics. What exactly is chaos and how is it related to nonlinear dynamics? How does one detect chaos? Is there chaos in financial markets? Are there other explanations of the movements of financial prices other than chaos? The purpose of this paper is to explore these issues.     

Correlation and Volatility Dynamics in International Real Estate Securities Markets

We study international correlation and volatility dynamics of publicly traded real estate securities using monthly returns from 1984 and 2006. We also examine, for comparison, the correlations among the corresponding stock markets. A multivariate dynamic conditional correlation model captures the time-varying correlation within the full period. We confirm lower correlations between all real estate securities market returns than those between the stock market returns themselves. Some significant variations and structural changes in the correlation structure happened within the sample period. We detect a strong and positive connection between real estate securities market correlations and their conditional volatilities. We also find the international correlation structure of real estate securities and the broader stock market are linked to each other. Our results have economic motivations regarding the potential integration of international real estate securities markets and the possibility of including information on changing correlations and volatilities to design more optimal portfolios for international real estate securities.

欧盟《金融工具市场指令》对交易场所之间竞争的影响

《金融工具市场指令》（MiFID）作为欧盟《金融服务行动计划》的一部分,旨在欧盟区域内建立起统一的金融服务市场,并给欧盟的金融市场注入更多的竞争因素。MiFID规定了规范市场（交易所）、多边交易设施以及系统化内部撮合商三种交易场所,取消了“集中规则”,并且规定了“最佳执行”的义务。MiFID对交易场所间的竞争产生如下影响：多边交易设施的建立,加剧与传统交易所的竞争;新的交易场所的规定,加速证券交易所的合并进程;“最佳执行”的规定,让新的交易场所喜忧参半。     

Competition, Market Structure, and Bid-Ask Spreads in Stock Option Markets

This paper examines the effects of competition and market structure on equity option bid-ask spreads from 1986 to 1997. Options listed on multiple exchanges have narrower spreads than those listed on a single exchange, but the difference diminishes as option volume increases. Option spreads become wider when a competing exchange delists the option. Options traded under a "Designated Primary Marketmaker" (DPM) have narrower quoted spreads than those traded in a traditional open outcry crowd. Effective spreads are found to be slightly narrower under the DPM than in the crowd, but only since 1992, and only on low-volume options.     

Structural Changes in the Duration of Bull Markets and Business Cycle Dynamics

Asia-Pacific Financial Markets - This paper tests for structural changes in the duration of bull regimes in 18 developed and emerging economies’ adjusted market capitalization stock indexes,...     

交易商战略与我国外汇市场发展

90年代,特别近年来,外汇市场经历了深刻的结构变化,这些变化对外汇市场造成巨大冲击。其中,外汇市场参与者结构性变动对外汇市场所产生的影响最为引人注目。为了深层次揭示外汇市场参与者对外汇市场的影响,本文主要以外汇市场的中坚力量——交易商的战略行为作为考察对象,通过对外汇市场交易商战略的探讨,说明外汇交易商战略对外汇市场的影响,并在此基础上分析我国外汇市场发展的策略。     

The Behavior of Bid–Ask Spreads and Volume in Options Markets during the Competition for Listings in 1999

In August 1999, U.S. exchanges began to compete directly for order flow in many options that had been exclusively listed on another exchange, shifting 37% of option volume to multiple‐listing status by the end of September. Effective and quoted bid–ask spreads decrease significantly after multiple listings with spreads generally maintaining their initial lower levels 1 year later. These results hold for both time series and pooled regressions and are robust. We reject that economies of scale in market making cause the decrease in spreads and support the view that interexchange competition reduces option transaction costs.     

System Dynamics Modeling of Chinese Urban Housing Markets for Pedagogical and Policy Analysis Purposes

This paper reports on the current state of a project to develop a system dynamics (SD) model for urban housing markets in China, aimed at facilitating policy analysis and supporting practical educational tools that might reach large numbers of potential entrepreneurs in China. Although numerous academic papers have applied SD models to real estate markets over the past generation, the technique remains relatively unknown and little used both in the academic economics literature and, more to the point, among practitioners and educators in the real estate community. Yet SD has the potential to address key needs among these constituencies, and extend and complement upon traditional economic methods. SD models are focused on modeling market transitions toward long-run equilibria, facilitating the study of the details of causality and the dynamic path of the market and features that are prominent in the history of housing markets in emerging markets. Different from intensive data-driven economic models, SD models are structural-based operational models that can more easily accommodate the actual non-market features and unique institutional components of these emerging real estate markets, where long-range historical data are not readily available. SD can provide intuitive and transparent model structures that should be able to improve pedagogy for educating large numbers of potential real estate entrepreneurs particularly in emerging market countries. For demonstration, in the present paper we choose to focus on the China-specific features of ‘speculative demand’ and ‘land financing scheme’, and use the newly developed SD model to explore the effects of land supply, “command-and-control” versus “market-driven” policies for housing in China. It is important to note, however, that while we chose China for the purposes of our study, the same technique can be applied to any emerging real estate market. Moreover, our research here can be seen as a stepping stone: Before a generalized SD model for emerging markets can be developed, it is both reasonable and appropriate to construct a model that is constrained to a manageable subset of the overall market space.     

Equilibrium in Competitive Insurance Markets Under Adverse Selection and Yaari's Dual Theory of Risk

Under Yaari's dual theory of risk, we determine the equilibrium separating contracts for high and low risks in a competitive insurance market, in which risks are defined only by their expected losses, that is, a high risk is a risk that has a greater expected loss than a low risk. Also, we determine the pooling equilibrium contract when insurers are assumed non-myopic. Expected utility theory generally predicts that optimal insurance indemnity payments are nonlinear functions of the underlying loss due to the nonlinearity of agents' utility functions. Under Yaari's dual theory, we show that under mild technical conditions the indemnity payment is a piecewise linear function of the loss, a common property of insurance coverages.