Search results

This paper examines the attempts to create new online markets for the trading of wholesale standardized goods during the late 1990s. The vast majority of these business-to-business (“B2B”) exchanges failed. These failed attempts provide invaluable data on the necessary underpinnings of online commodity markets and the social dynamics that drive them. Focusing on the US market for propane as our case, we discuss the model that drove the development of many business-to-business exchanges, the social dynamics of the propane industry and the attempts to create an online propane market, the role of informal risk management, and some initial lessons about the design of markets. Ignoring the behavioral realities of markets led to designs and technology that in many cases were incompatible with the needs of market participants.

This paper investigates Japanese stock returns for the Friday, Monday and Tuesday surrounding U.S. Monday holiday closures. The empirical results show that U.S. Monday closures have a statistically significant impact on Japanese stock return dynamics for surrounding trading days, but do not support the hypothesis that the U.S. Monday and Japanese Tuesday effects are related. Potential explanations for the occurrence and then disappearance of the Japanese Tuesday effect rely on market microstructure properties unique to the Tokyo market. The spillover effects from New York to Tokyo have been increased in density over time, which is attributed to market structural changes represented by the introduction of Nikkei 225 index futures on the SIMEX in 1986.

The relationship between short selling, market volatility and liquidity remains an object of intensive research. However, empirical evidence is yet to provide a conclusive elucidation of this relationship by examining aspects of market fragmentation in the form of different market settings, different timing and different stocks under coverage, among others. This paper aims to contribute to the debate by investigating the impact of short selling on market volatility and liquidity in the Athens Exchange (ATHEX) under three different periods of short sales restrictions.

Two hypotheses are tested using econometric methodologies (co-integration and Granger-causality tools).

The empirical results indicate that when short selling is allowed, aggregate stock returns are in the short-term more volatile, but the liquidity of the market is not significantly affected. This might be the result of significant imbalances between supply and demand of stock caused by short-selling restrictions, leading to market price fluctuations.

The analysis of empirical evidence needs further expansion and association with institutional firm-level and country-level elements to provide a more comprehensive understanding of the impact of short selling on market volatility and liquidity.

Stock market regulation involving short-selling restrictions have different implications according to extent and degree of stringency of the restrictions as well as the market on which they are imposed. That is especially important for the assessment of the market impact of the recent European Union regulation on short selling that has been imposed upon all EU member-States alike.

Financial regulation policy must balance the benefits and costs for retail investors of imposing short-selling restrictions on stock market trading.

First-time empirical evidence is provided on the impact of short selling regulations on market volatility and liquidity of ATHEX highlighting the potential effectiveness of regulation policy.

The purpose of this paper is to critically evaluate the different market‐making systems found in most developed capital markets and to provide guidance to emerging market regulators for a possible implementation of such a system.

The paper looks closely at the market design of seven developed countries focusing on the obligations and privileges of market makers. Through a case study and empirical evidence the paper identifies advantage and disadvantage of a possible implementation of a similar design to an emerging market.

The paper identifies three forms of market making applied today: the quote‐driven, the centralized and non‐centralized systems. Four factors are proposed that regulatory authorities in emerging markets should consider when deciding whether, and which of, the three market‐making systems they should implement. These are: current exchange design and the costs of restructuring, international and domestic investors' sentiment towards the exchange, size of the emerging market and the market designs in countries hosting the target foreign capital.

The paper looks at the implementation of a market‐making system in an emerging market. Further research may investigate other ways of how emerging markets authorities can restructure their markets into more efficient, compatible and trustworthy financial venues in order to attract both domestic and foreign investors.

The area of emerging markets' microstructure design and market quality is still relatively under‐studied. We provide evidence of the challenges and benefits of the implementation of a market‐making system in those markets.

Microstructure noise contaminates high-frequency estimates of asset price volatility. Recent work has determined a preferred sampling frequency under the assumption that the properties of noise are constant. Given the sampling frequency, the high-frequency observations are given equal weight. While convenient, constant weights are not necessarily efficient. We use the Kalman filter to derive more efficient weights, for any given sampling frequency. We demonstrate the efficacy of the procedure through an extensive simulation exercise, showing that our filter compares favorably to more traditional methods.

This paper aims to demonstrate a dynamic cointegration-based pairs trading strategy, including an optimal look-back window framework in the cryptocurrency market and evaluate its return and risk by applying three different scenarios.

This study uses the Engle-Granger methodology, the Kapetanios-Snell-Shin test and the Johansen test as cointegration tests in different scenarios. This study calibrates the mean-reversion speed of the Ornstein-Uhlenbeck process to obtain the half-life used for the asset selection phase and look-back window estimation.

By considering the main limitations in the market microstructure, the strategy of this paper exceeds the naive buy-and-hold approach in the Bitmex exchange. Another significant finding is that this study implements a numerous collection of cryptocurrency coins to formulate the model’s spread, which improves the risk-adjusted profitability of the pairs trading strategy. Besides, the strategy’s maximum drawdown level is reasonably low, which makes it useful to be deployed. The results also indicate that a class of coins has better potential arbitrage opportunities than others.

This research has some noticeable advantages, making it stand out from similar studies in the cryptocurrency market. First is the accuracy of data in which minute-binned data create the signals in the formation period. Besides, to backtest the strategy during the trading period, this study simulates the trading signals using best bid/ask quotes and market trades. This study exclusively takes the order execution into account when the asset size is already available at its quoted price (with one or more period gaps after signal generation). This action makes the backtesting much more realistic.

The purpose of the paper is to show that order flows determine exchange rate dynamics because they carry information about nonfundamental factors besides macroeconomic fundamentals.

To understand the role of nonfundamental factors in driving order flows, this study uses two approaches. Initially, Evans and Rime (2016) VAR framework is followed to study the incremental information transmitted by order flow compared to macroeconomic variables. Then, the study uses the settings in which Rime et al. (2010) conduct their empirical work, which gives the researcher more latitude in specifying the identity of the factors that drive order flows.

The findings evidence that order flows explain the dynamics of the TND/USD exchange rate. The results highlight that order flows convey information about technical strategies, the currency systematic factors and political risk. This study also documents the presence of a Ramadan effect in exchange rates and order flows.

This study makes four contributions to the literature. First, it complements the literature on the FX microstructure of emerging markets. The study investigates the information content carried by order flows, while the previous literature has focused solely on examining the explanatory power of order flows to explain exchange rates in emerging countries. The second contribution is that the study demonstrates formally that order flows determine exchange rates because they transmit information about nonfundamental factors. Third, this study is the first to examine whether order flows convey information about technical analysis. Four, the study relates order flow to nontraditional factors that are relevant to the Tunisian FX market.

The purpose of this paper is to evaluate how markets in financial instruments directive (MiFID) and regulation national market system (Reg NMS) affect the competition for order flow among trading venues in, respectively, Europe and the USA.

The paper examines the differences between MiFID and Reg NMS and provides, based on market microstructure principles, insights as to their likely impact on European and the US securities markets.

Although MiFID and Reg NMS share the common objective of enhancing competition in securities markets, they adopt different provisions with respect to three issues that strongly influence the competition for order flow among trading venues. Specifically, some of the provisions set forth by the US regulation with respect to the best execution duty, the consolidation of market data and the disclosure of execution quality information appear to be more effective, compared to the European Union ones, in strengthening competition for order flow among trading venues.

Regulatory factors can only partly explain the current structure of the European and US securities markets. Technology and heterogeneity in traders' demand are other important factors that concur in shaping the European and US markets.

The degree of competition for order flow among trading venues depends on how regulations define the best execution duty, the availability of updated and consolidated pre‐trade (i.e. quotations) and post‐trade (i.e. transactions) information and the efficiency of post‐trading infrastructures.

The paper addresses issues not yet investigated and provides valuable insights for financial intermediaries, incumbent and prospective exchanges as to the competition in the securities industry, and to regulators as to the likely impact of the new regulations.

The purpose of this paper is to study the effect of X‐Stream, the new trading platform of the Colombian Stock Exchange since February 2009, on the market quality.

The authors test the effect of X‐Stream on market quality variables, such as liquidity (bid‐ask spread and price impact), daily and intraday volatility and trading activity, using mean tests, panel data and conditional variance models. The authors use a proprietary database of transactions and orders from the exchange.

The evidence suggests that X‐Stream improved the liquidity and trading activity and reduced the volatility of the overall market, especially of the most liquid stocks.

These results support the investment on more sophisticated trading systems in emerging markets.

Contributing to the literature on market quality, this paper provides novel evidence of the effect of reforms on market design, trading rules and operational capabilities on a small and low‐liquidity emerging stock market.

Se investiga el efecto de la plataforma de transacción de acciones de BVC, X‐Stream, en la calidad del mercado accionario a partir de su lanzamiento en Febrero del 2009. Partiendo de una base de datos transaccional de BVC, se emplean varios modelos econométricos para medir el efecto de la nueva plataforma en las volatilidades diaria e intradiaria, la liquidez (margen proporcional de oferta y demanda e impacto en el precio) y la actividad bursátil. La evidencia demuestra que X‐Stream mejoró la liquidez y redujo la volatilidad del mercado accionario como un todo, pero especialmente en las acciones más líquidas. Esta investigación contribuye a la literatura en calidad de mercado al aportar nueva evidencia sobre el efecto de los cambios de diseño, reglas de transacción y capacidades operacionales en un mercado accionario de reducidos tamaño y liquidez. De esta manera, sirve como argumento para justificar inversiones en sistemas avanzados de transacción en mercados emergentes.