Derivatives Trading and the Volume-Volatility Link in the Indian Stock Market

This paper investigates the issue of temporal ordering of the range-based volatility and volume in the Indian stock market for the period 1995-2007. We examine the dynamics of the two variables and their respective uncertainties using a bivariate dual long-memory model. We distinguish between volume traded before and after the introduction of futures and options trading. We find that in all three periods the impact of both the number of trades and the value of shares traded on volatility is negative. This result is in line with the theoretical argument that a marketplace with a larger population of liquidity providers will be less volatile than one with a smaller population. We also find that (i) the introduction of futures trading leads to a decrease in spot volatility, (ii) volume decreases after the introduction of option contracts and, (iii) there are signifcant expiration day effects on both the value of shares traded and volatility series.http://deepblue.lib.umich.edu/bitstream/2027.42/64397/1/wp935.pd

Derivatives Trading and the Volume-Volatility Link in the Indian Stock Market

This paper investigates the issue of temporal ordering of the range-based volatility and volume in the Indian stock market for the period 1995-2007. We examine the dynamics of the two variables and their respective uncertainties using a bivariate dual long-memory model. We distinguish between volume traded before and after the introduction of futures and options trading. We find that in all three periods the impact of both the number of trades and the value of shares traded on volatility is negative. This result is in line with the theoretical argument that a marketplace with a larger population of liquidity providers will be less volatile than one with a smaller population. We also find that (i) the introduction of futures trading leads to a decrease in spot volatility, (ii) volume decreases after the introduction of option contracts and, (iii) there are signifcant expiration day effects on both the value of shares traded and volatility series.derivatives trading; emerging markets; long-memory; range-based volatility; value of shares traded

Heavy-Tailed Features and Empirical Analysis of the Limit Order Book Volume Profiles in Futures Markets

This paper poses a few fundamental questions regarding the attributes of the volume profile of a Limit Order Books stochastic structure by taking into consideration aspects of intraday and interday statistical features, the impact of different exchange features and the impact of market participants in different asset sectors. This paper aims to address the following questions: 1. Is there statistical evidence that heavy-tailed sub-exponential volume profiles occur at different levels of the Limit Order Book on the bid and ask and if so does this happen on intra or interday time scales ? 2.In futures exchanges, are heavy tail features exchange (CBOT, CME, EUREX, SGX and COMEX) or asset class (government bonds, equities and precious metals) dependent and do they happen on ultra-high (<1sec) or mid-range (1sec -10min) high frequency data? 3.Does the presence of stochastic heavy-tailed volume profile features evolve in a manner that would inform or be indicative of market participant behaviors, such as high frequency algorithmic trading, quote stuffing and price discovery intra-daily? 4. Is there statistical evidence for a need to consider dynamic behavior of the parameters of models for Limit Order Book volume profiles on an intra-daily time scale ? Progress on aspects of each question is obtained via statistically rigorous results to verify the empirical findings for an unprecedentedly large set of futures market LOB data. The data comprises several exchanges, several futures asset classes and all trading days of 2010, using market depth (Type II) order book data to 5 levels on the bid and ask

Measuring market liquidity: An introductory survey

Asset liquidity in modern financial markets is a key but elusive concept. A market is often said to be liquid when the prevailing structure of transactions provides a prompt and secure link between the demand and supply of assets, thus delivering low costs of transaction. Providing a rigorous and empirically relevant definition of market liquidity has, however, provided to be a difficult task. This paper provides a critical review of the frameworks currently available for modelling and estimating the market liquidity of assets. We consider definitions that stress the role of the bid-ask spread and the estimation of its components that arise from alternative sources of market friction. In this case, intra-daily measures of liquidity appear relevant for capturing the core features of a market, and for their ability to describe the arrival of new information to market participants

Exchange Traded Funds: History, Trading and Research

We survey the litterature devoted to Exchange Traded Fundsliterature review, Exchange Traded Funds

Are there Economies of Scale in Stock Exchange Activities?

This is the first paper that examines economies of scale in stock exchanges. The data employed in the study include cost and output statistics for 37 stock exchanges in four continents around the world for the year 1997. I estimate two traditional cost functions and find that ray (overall) scale economies exist only in the very large stock exchanges but that there are significant scale economies with respect to one of the outputs, ie the processing of trades. On the other hand, there are not equally clear scale advantages related to activities involving company-specific information. There are thus opposing forces, some tending to increase standardization and scale and others favouring the continuization of more localized facilities. The outcome of increasing competition may be not be the amalgamation of exchanges but instead the centralization of certain functions, eg the trading function, and continued realization of others on a decentralized basis. There is nonetheless an obvious incentive for closer and deeper cooperation between European stock exchanges.stock exchanges; alliances; economies of scale; technology

Pay-performance Sensitivity and Firm Size: Insights From the Mutual Fund Industry

I examine the ex ante decision to make an agent\u27s pay-performance sensitivity an inverse function of organization size. I focus on mutual funds and their decision to use compensation contracts that reduce the advisor\u27s marginal compensation as the fund grows (a declining-rate contract) over the dominant contract type, where marginal compensation is unrelated to fund size (a single-rate contract). I find evidence consistent with the view that declining-rate contracts are a mechanism to keep marginal compensation in line with the advisor\u27s declining marginal product. Specifically, I find that funds with greater exposure to diseconomies of scale are more likely to use a declining-rate contract and to specify a greater amount of compensation decline in their contracts. Consistent with optimal contracting, I find no evidence of a performance difference between funds with declining-rate contracts and funds with single-rate contracts

High frequency trading and end-of-day price dislocation : [Version 28 Oktober 2013]

We show that the presence of high frequency trading (HFT) has significantly mitigated the frequency and severity of end-of-day price dislocation, counter to recent concerns expressed in the media. The effect of HFT is more pronounced on days when end of day price dislocation is more likely to be the result of market manipulation on days of option expiry dates and end of month. Moreover, the effect of HFT is more pronounced than the role of trading rules, surveillance, enforcement and legal conditions in curtailing the frequency and severity of end-of-day price dislocation. We show our findings are robust to different proxies of the start of HFT by trade size, cancellation of orders, and co-location

APPLYING CHAID TO IDENTIFY THE ACCOUNTING-FINANCIAL CHARACTERISTICS OF THE MOST PROFITABLE REAL ESTATE COMPANIES IN SPAIN

The aim of this study is the determination, from an empirical perspective, of the accounting and financial features which could condition financial profitability of real estate companies, to identify the performances that guarantee its permanency in the current marketplace, characterized by the world economic crisis, specially in Spain, whose housing sector represents an important contributor to the economic growth. Although at a theoretical level the DuPont Model establishes the relationships between a group of accounting ratios and financial profitability. This paper uses a sample of 5,484 Spanish real estate companies to quantify these relationships and to extract the most relevant ones and to obtain the patterns of the most profitable companies. We use ROE to measure profitability and we analyze various independent variables about solvency, liquidity, activity, turnover, financial equilibrium and investment structure. The main contribution is of methodological nature, as we have applied statistics tools that do not require initial hypotheses on the distribution of the variables, by using a data mining technique of classification and regression tree based on rule induction algorithms known as CHAID. The study provides quantitatively success profiles by means of a set of rules describing the patterns of the most profitable companies.CHAID; financial profitability; classification trees; accounting ratios; Spain.