A number of countries have delayed the opening of their capital markets to international" investment because of reservations about the impact of foreign speculators on both expected" returns and market volatility. We propose a cross-sectional time-series model that attempts to" assess the impact of market liberalizations, in the form of the offering of depositary receipts country funds and other financial instruments, in an extranational market and market volatility in emerging equity markets. We also examine the impact of capital market" liberalizations on the correlation of emerging equity market returns and the world market return. " Our empirical approach is designed to control for other economic events which might confound" the impact of foreign speculators on local equity markets. Whatever the empirical specification the cost of capital always decreases after a capital market liberalization but the effect is" economically and statistically weak. The effects on volatility and correlation are less robust."

Foreign Speculators and Emerging Equity Markets

We propose a cross-sectional time-series model to assess the impact of market lib- eralizations in emerging equity markets on the cost of capital, volatility, beta, and correlation with world market returns. Liberalizations are defined by regulatory changes, the introduction of depositary receipts and country funds, and structural breaks in equity capital flows to the emerging markets. We control for other eco- nomic events that might confound the impact of foreign speculators on local equity markets. Across a range of specifications, the cost of capital always decreases after a capital market liberalization with the effect varying between 5 and 75 basis points. THROUGHOUT HISTORY AND IN MANY MARKET ECONOMIES, the speculator has been characterized as both a villain and a savior. Indeed, the reputation of the speculator generally depends on the country where he does business. In well- functioning advanced capital markets, such as the United States, the specu- lator is viewed as an integral part of the free-market system. In developing capital markets, the speculator, and in particular the international specula- tor, is looked upon with many reservations. Recently, many so-called "emerging" markets have opened up their capital markets to foreign investors, creating an ideal laboratory for examining the impact of increased foreign portfolio investment in developing equity mar- kets. Our main focus is the impact on expected equity returns-the cost of equity capital. However, we also examine the effects of increased foreign

/pdf/foreign-speculators-and-emerging-equity-markets-ujwiufzquw.pdf

A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever.

Algorithmic trading has sharply increased over the past decade Does it improve market quality, and should it be encouraged? We provide the first analysis of this question The NYSE automated quote dissemination in 2003, and we use this change in market structure that increases algorithmic trading as an exogenous instrument to measure the causal effect of algorithmic trading on liquidity For large stocks in particular, algorithmic trading narrows spreads, reduces adverse selection, and reduces trade-related price discovery The findings indicate that algorithmic trading improves liquidity and enhances the informativeness of quotes

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1668523_code49904.pdf?abstractid=1100635&rulid=5239579&mirid=2

Does Algorithmic Trading Improve Liquidity

Algorithmic trading (AT) has increased sharply over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The New York Stock Exchange automated quote dissemination in 2003, and we use this change in market structure that increases AT as an exogenous instrument to measure the causal effect of AT on liquidity. For large stocks in particular, AT narrows spreads, reduces adverse selection, and reduces trade-related price discovery. The findings indicate that AT improves liquidity and enhances the informativeness of quotes. TECHNOLOGICAL CHANGE HAS REVOLUTIONIZED the way financial assets are traded. Every step of the trading process, from order entry to trading venue to back office, is now highly automated, dramatically reducing the costs incurred by intermediaries. By reducing the frictions and costs of trading, technology has the potential to enable more efficient risk sharing, facilitate hedging, improve liquidity, and make prices more efficient. This could ultimately reduce firms’ cost of capital. Algorithmic trading (AT) is a dramatic example of this far-reaching technological change. Many market participants now employ AT, commonly defined as the use of computer algorithms to automatically make certain trading decisions, submit orders, and manage those orders after submission. From a starting point near zero in the mid-1990s, AT is thought to be responsible for

/pdf/does-algorithmic-trading-improve-liquidity-j10t9o2syx.pdf

Actual investment performance reflects the underlying strategy of the portfolio manager and the execution costs incurred in realizing those objectives. Execution costs, especially in illiquid markets, can dramatically reduce the notional return to an investment strategy. This paper examines the interactions between cost, liquidity and volatility, and analyses their determinants using panel data for 42 countries from September 1996 to December 1998. We document wide variation in trading costs across countries; emerging markets, in particular, have significantly higher trading costs even after correcting for factors such as market capitalization and volatility. We analyse the inter-relationships between turnover, equity trading costs and volatility, and investigate the impact of these variables on equity returns. In particular, we show that increased volatility, acting through costs, reduces a portfolio’s expected return. However, higher volatility reduces turnover also, mitigating the actual impact of higher costs on returns. Further, turnover is inversely related to trading costs, providing a possible explanation for the increase in turnover in recent years. The results demonstrate that the composition of global efficient portfolios can change dramatically when cost and turnover are taken into account.

/pdf/liquidity-volatility-and-equity-trading-costs-across-4jwi6fk2i2.pdf

Liquidity, Volatility and Equity Trading Costs Across Countries and Over Time

We examine the relationship between stock prices and market segmentation induced by ownership restrictions in Mexico. The focus is on multiple classes of equity that differentiate between foreign and domestic traders, and between domestic individuals and institutions. Significant stock price premia are documented for shares not restricted to a particular investor group. We analyze the theoretical and empirical determinants of premia across firms and over time. In addition to economy-wide factors, segmentation reflects the relative scarcity of unrestricted shares. The results provide additional support for Stulz and Wasserfallen's (1995) hypothesis that firms discriminate between investor groups with different demand elasticities.

Market Segmentation and Stock Prices: Evidence from an Emerging Market

Liquidity commonality and return co-movement

The authors examine transaction costs associated with algorithmic trading, based on a sample of 2.5 million orders, of which one million are executed via algorithmic means. The data permit a comparison of algorithmic executions with a broader universe of trades, as well as across multiple providers of model-based trading services. Algorithmic trading is found to be a cost-effective technique, based on a measure of implementation shortfall. The superiority of algorithm performance applies only for order sizes up to 10% of average daily volume, however. Algorithmic trading performance relative to a commonly used volume participation benchmark also is quite good, although certainty of outcome declines sharply with the size of the order. A clear link between performance and variability in performance relative to both benchmarks appears to be lacking. Although rough equality across providers is observed on average, this equality of performance breaks down quickly as order size grows.

The Cost of Algorithmic Trading: A First Look at Comparative Performance

A system and method for detecting an abnormal trading condition of a security uses real-time and estimated values of one or more variables associated with the condition of the security to generate one or more analytic metrics that are compared to empirical distributions based on one or more peer groups for the security. An indicator can then be displayed to a trader as an indication of the abnormal condition.

Ian Domowitz

Papers

Liquidity, Volatility and Equity Trading Costs Across Countries and Over Time

Market Segmentation and Stock Prices: Evidence from an Emerging Market

Liquidity commonality and return co-movement

The Cost of Algorithmic Trading: A First Look at Comparative Performance

System and method for generating real-time indicators in a trading list or portfolio