Futures Trading Activity Research Articles

Futures Trading and Spot Market Volatility: Evidence from Indian Commodity Markets

In the context of emerging Indian commodity futures markets, this paper empirically examines the effect of futures trading activity (trading volume ; proxy of futures liquidity) on spot price volatility for seven agricultural commodities (guar seeds, turmeric, soya bean, black pepper, barley, Maize and Castor Seed).We decompose the futures volume into expected and unexpected components using Hodrick–Prescott filter (HP filter) .To clearly understand the destabilization effect, the relationship of the unexpected liquidity of futures market is done with Unexpected volatility of spot market returns which is estimated by taking the residuals of the GARCH model. We find that unexpected futures trading volume is Granger causing spot price volatility and are significant for five out of seven agricultural commodities (Guarseed, Turmeric, Soybean, Maize and Castor Seed), consistent with Bessembinder and Seguin (1992).We find reversed effect for one commodity i.e. Pepper the effect of spot volatility on futures trading and for Barley no causality is revealed either from future to spot or Vice-Versa. Besides being of interest to the participants, this study is likely to be useful in addressing the concerns of policy makers in India on alleged destabilizing effect of futures markets on spot prices as for emerging futures markets. Commodity exchanges must be strengthen and put under strict and active monitoring for early detection of anomalous trading behaviour. Financial autonomy and adequate powers should be given to Forward Market Commission to penalise any insider trading and price manipulations, this will minimize price distortions. The Government support shall lead to market growth and overall economic development.

Does 'Paper Oil' Matter? Energy Markets’ Financialization and Equity-Commodity Co-Movements

We construct a uniquely detailed, comprehensive dataset of trader positions in U.S. energy futures markets. We find considerable changes in the make-up of the open interest between 2000 and 2010 and show that these changes impact asset pricing. Specifically, dynamic conditional correlations between the rates of return on investable energy and stock market indices increase significantly amid greater activity by speculators in general and hedge funds in particular (especially funds active in both equity and energy markets). The impact of hedge fund activity is markedly lower in periods of financial market stress. Our results support the notion that the composition of trading activity in futures markets helps explain an important aspect of the distribution of energy returns, and have ramifications in the debate on the financialization of energy markets.

Limit Orders, Trading Activity, and Transactions Costs in Equity Futures in an Electronic Trading Environment

The behaviour of limit order quotes and trading activity are studied using a unique and rich database that includes the identity of market participants from a fully automated derivatives market. The analysis is performed using transactions records for three aggregated trader types and three trade identifiers, with trades stamped in milliseconds for the SXF, the equity futures contract of the Montreal Exchange. The identifiers distinguish trades between principals; agency based trades, as well as transactions that are conducted for risk management as opposed to speculative purposes. Agency related trades are shown to represent the largest amount of trading activity relative to other account types. Over 90% of trades in this electronic market are limit orders. The limit order book, especially the depth 1 order, has a dominant role in providing liquidity and in explaining market participants’ trading behaviour. Participants in the SXF reference their trades to the best limit order depth. Hence, investors with large positions or investors who want to build a large position have to strategically split large orders to close/build their position, according to the depth of the best limit order, to ameliorate price impact and information leakage effects. In addition, the results show that traditionally measured spreads have no relationship with trading costs.

Effect of Futures Trading on Spot Market Volatility: Evidence from Indian Commodity Derivatives Markets

This study investigates the relationship between futures trading activity and spot market volatility for agricultural, metal, precious metals and energy commodities in Indian commodity derivatives market. This article contributes to the debate whether the futures trading in Indian commodity futures market stabilizes or destabilizes spot market. We explore this issue by modeling contemporaneous as well as dynamic relationship between spot volatility and futures trading activity including trading volume (speculative/day trading) and open interest (hedging). Following Bessembinder and Senguin (1992), we examine contemporaneous relationship through augmented GARCH model in which spot volatility is modeled as GARCH (1,1) process and trading activity is used as explanatory variable. We also decompose futures trading volume and open interest series into expected and unexpected component. The lead-lag relationship between spot price volatility and futures trading volume and open interest is investigated through VAR model. Granger causality tests, forecast error variance decompositions and impulse response function are used to understand the dynamic relationship between these variables. We found that both expected and unexpected futures trading volume affects contemporaneous spot volatility positively. However, in case of agricultural commodities only unexpected volume affects the contemporaneous spot volatility. Granger causality tests, forecast error variance decompositions and impulse response function confirm that the lagged unexpected volatility causes spot price volatility for all commodities. The effect of speculative/day trading activity measured by trading volume on spot market volatility is positive. However, hedging activity measured by open interest does not show significant effect on spot market volatility. We do not find any effect of spot volatility on futures trading activity for most of the commodities.

The price and volume effect of initial single stock futures trading

The introduction of single stock futures to a market allows for a per company impact-assessment of futures trading activity. Thirty-eight South African companies were evaluated in terms of a possible price and volume effect due to the initial trading of their respective single stock futures contracts. An event study revealed that SSF trading had little impact on the underlying share prices while a normalised volume comparison pre to post SSF trading showed a general increase in spot market trading volumes.

Limit Orders, Trading Activity, and Transactions Costs in Equity Futures in an Electronic Trading Environment

Limit Orders, Trading Activity, and Transactions Costs in Equity Futures in an Electronic Trading Environment

Introducing the mini-futures contract on Ibex 35: implications for price discovery and volatility transmission

This paper analyzes the effects of the introduction of the mini-futures contract in the Spanish stock index futures market. The objective of the paper is twofold: (a) to analyze the potential destabilizing effect of the mini futures trading activity on the distribution of spot returns, and (b) to test whether the mini futures contract significantly contributes to the price discovery process. A non-parametric approach is used to estimate the density function of spot return conditional to both spot and futures trading volume. Empirical findings using 15-min intraday data reveal that the mini futures trading activity enhances the price discovery function of the derivative market and does not destabilize spot prices.

The effect of futures trading on the distribution of spot index returns: Implications for CVaR in the Spanish market

AbstractThere is extensive empirical research on the potential destabilizing effects of futures trading activity on spot market volatility. Rather than just focusing on spot volatility, the authors deal with the contemporaneous relationship between futures trading volume and the overall probability distribution of spot market returns. Empirical evidence using intraday data from the Spanish stock index futures market over the period 2000–2002 is provided. Their findings reveal that the density function of spot return conditional to spot volume depends on unexpected futures trading volume.

The relationship between futures trading activity and exchange rate volatility, revisited

This paper examines the relationship between trading activity in currency futures and exchange rate volatility. In order to measure trading activity, the paper uses both volume and open interest to distinguish between speculators/day traders and hedgers. The study uses three different measures of volatility: (1) the extreme value estimator that measures intra-day volatility; (2) historical volatility; and (3) conditional volatility from the GARCH (1, 1) process. Main finding is that speculators and day traders destabilize the market for futures. Whether hedgers stabilize or destabilize the market is inconclusive. The results suggest that speculators’ demand for futures goes down in response to increased volatility. Meanwhile, the demand from hedgers shows mixed results, depending on the method used to measure volatility.

Volatility and trading activity in Short Sterling futures

The objective of the present study is to examine the interplay between information, trading volume and volatility in Short Sterling futures. More specifically, the paper concentrates on the role of liquidity variables as conduits of information arrival and whether such variables could be an exclusive platform of the market's information set. The analytical framework employed to examine the interaction among those factors is based on the conditional volatility family of techniques. The approach is well suited as it naturally leads to examine the interaction among volatility and sources of information. In an attempt to identify proxies of information and their role in determining volatility, four main conclusions have emerged. First, the empirical findings suggest that both volume and open interest exhibit a positive correlation with volatility. Second, based on the current methodology, one can observe the persistence and importance of GARCH effects after accounting for liquidity. Third, the liquidity variables remain significantly exogenous compared with other studies. Finally, although both liquidity variables are found significant, their role as vehicles of transmitting information is proved to be weak with respect to the information itself.

The Effect of Futures Trading on Spot Market Liquidity

This study analyzes the effect of stock index futures trading on the price volatility and liquidity of spot markets, It is found that spot price volatility increases significantly after stock index futures are listed, This study partitions the trading activity series of sPOt markets into expected and unexpected components, and documents that unexpected spot-trading activities are associated with smaller sPOt price movements subsequent to the introduction of futures trading, This imolies that spot market liquidity has been increased by the intraduction of futures trading, Furthermore, this study examines the effect of futures-trading activity on the liquidity of spot markets, Results show that active futures markets enhance the liquidity of soot markets.

Trading Activity and Liquidity Supply in a Pure Limit Order Book Market. An Empirical Analysis Using a Multivariate Count Data Model

In this paper we perform an empirical analysis of the trading process in a pure limit order book market, the Xetra system which operates at various European exchanges.We study how liquidity supply and demand as well as price volatility affect future trading activity and market resiliency, and discuss the results in the light of predictions implied by theoretical models of financial market microstructure. Parameter estimation and hypotheses testing is conducted using a new econometric methodology designed for the analysis of multivariate count processes.

Futures Trading Activity and Commodity Cash Price Volatility

Abstract: This paper examines the lead‐lag relationship between futures trading activity (volume and open interest) and cash price volatility for major agricultural commodities. Granger causality tests and generalized forecast error variance decompositions show that an unexpected increase in futures trading volume unidirectionally causes an increase in cash price volatility for most commodities. Likewise, there is a weak causal feedback between open interest and cash price volatility. These findings are generally consistent with the destabilizing effect of futures trading on agricultural commodity markets.

Developed speculation and underdeveloped markets--the role of futures trading on export prices in less developed countries

This paper examines the relationship between New York coffee futures and cash export prices in Guatemala and Honduras . Cointegration tests suggest that the futures market is serving its price discovery function, and provides a vehicle by which to manage the domestic price risk in export countries. However, further analysis finds that as the percent of speculative open interest increases in the coffee futures market, price volatility increases. This suggests that cash market price risk in exporting countries may actually increase as a result of futures trading activity in developed country futures exchanges.

The impact of the introduction of futures contracts on the spot market volatility: the case of Kuala Lumpur Stock Exchange

In investigating the impact of futures trading on spot market volatility, it is not obvious to what extent the results obtained using data from well developed and highly liquid markets are applicable to emerging markets. This paper provides evidence on the impact of the introduction of futures trading on spot market volatility using data from both the underlying and non-underlying stocks in the emerging Malaysian stock market. Results show that the onset of futures trading increases spot market volatility and the flow of information to the spot market. It is found that the underlying stocks respond more to recent news, while the non-underlying stocks respond more to old news. The lead–lag and causal relationship between futures trading activity and spot market volatility is also examined. VAR results show that the impact of the previous day's futures trading activity on volatility is positive but short (only a day). This is further confirmed by Granger's causality test.

Intraday information transmission between DJIA spot and futures markets

This study empirically examines the dynamic relationship between Dow Jones Industrial Average (DJIA) spot and futures markets by constructing a vector autoregressive (VAR) model. The volatility series in the VAR model are derived from the GARCH model estimations. The findings show evidence of two-way causality, but the impact of a one time increase in futures returns on the spot return volatility is found to be greater than the impact of a one time increase in spot returns on futures return volatility. Further, the results show that an increase in spot trading activity decreases spot and futures return volatility. However, a similar increase in futures trading activity increases futures return volatility but has no net impact on the spot return volatility. The results are consistent with the view that an investor trading in the futures market needs to consider the return movements in both spot and futures markets and the volume movements only in futures market. On the other hand, an investor trading in the spot market needs to consider only the return movements both in the spot and futures markets.

Futures trading activity and stock price volatility: some extensions

An earlier investigation by Bessembinder and Seguin employed open interest data to demonstrate that heavy (unexpected) trading activity in stock index futures is destabilizing. This article re-examines the issue in the framework of the commitments of four groups of traders in the S&P 500 index futures market: hedgers (institutional traders), large speculators, small traders and spreaders. Finding that surges in institutional commitments in index futures are followed by increased levels of price variability. The results are not conclusive on whether portfolio insurance strategies contribute to this relationship. Moreover, there is no evidence that the participation of other futures traders, notably large speculators and small traders, is destabilizing. An implication is that the current margins structure that favours institutional traders is ill-suited to the goal of volatility-control. The release of the commitment of trader data which provides open interest information on an ex post basis is found to hav...

On the adequacy of single‐stock futures margining requirements

AbstractUnlike the traditional futures contract risk‐based approach to margining, new security futures contracts are margined under a strategy‐based margining system similar to that which applies in the equity options markets. As a result, these new margin requirements are potentially much less sensitive to changes in market conditions. This article performs a simulation to evaluate whether these alternative margining methodologies can be expected to produce comparable outcomes. The analysis suggests that a 1‐day settlement period will likely lead to collection of customer margins that are virtually always greater than that which its traditional risk‐based counterpart would require. A 4‐day settlement period would lead to margin requirements that both significantly under‐ and overmargin relative to a comparable risk‐based system. This study argues that exchanges may approach the preferred probability of customer exhaustion by managing margin settlement intervals. Thus, the new strategy‐based rules, in and of themselves, will not necessarily inhibit new security futures trading activity. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:989–1002, 2003

Trading activity and price reversals in futures markets

We use the standard contrarian portfolio approach to examine short-horizon return predictability in 24 US futures markets. We find strong evidence of weekly return reversals, similar to the findings from equity market studies. When interacting between past returns and lagged changes in trading activity (volume and/or open interest), we find that the profits to contrarian portfolio strategies are, on average, positively associated with lagged changes in trading volume, but negatively related to lagged changes in open interest. We also show that futures return predictability is more pronounced if interacting between past returns and lagged changes in both volume and open interest. Our results suggest that futures market overreaction exists, and both past prices and trading activity contain useful information about future market movements. These findings have implications for futures market efficiency and are useful for futures market participants, particularly commodity pool operators.

Futures trading activity and predictable foreign exchange market movements

In this paper, we examine the relation between futures trading activity by trader type and returns over short horizons in five foreign currency futures markets – British pound, Canadian dollar, Deutsche mark, Japanese yen, and Swiss franc. Transforming trading activity into a sentiment measure, we find that speculator sentiment is positively related to future returns. In contrast, hedger sentiment covaries negatively with future returns. We also find that extreme sentiment by trader type is more correlated with future market movements than moderate sentiment. Our results suggest that hedgers lose to speculators in these futures markets, on average. Based on equilibrium pricing models that futures risk premiums are determined by both market risk and hedging pressure, we show that the profits to speculators are in general compensation for bearing risk.