Liquidity and Arbitrage in Options Markets: A Survival Analysis Approach

This paper examines the determinants of the time it takes foran index options market to return to no arbitrage values afterput-call parity deviations, using intraday transactions datafrom the French index options market. We employ survival analysisto characterize how limits to arbitrage influence the expectedduration of arbitrage deviations. After controlling for conventionallimits to arbitrage, we show that liquidity-linked variablesare associated with a faster reversion of arbitrage profits.The introduction of an Exchange Traded Fund also affects thesurvival rates of deviations, but this impact essentially stemsfrom the reduction in the level of potential arbitrage profits.     

Examining the Equilibrium Relationship Between the Shanghai 50 Stock Index Futures and the Shanghai 50 ETF Options Markets

Based on the put-call-futures parity model, this article studies the equilibrium relationship between the Shanghai 50 stock index futures and the Shanghai 50 Exchange-Traded Fund (ETF) options markets by analyzing the arbitrage opportunities and profits between these two derivative markets. This article reveals that the cost spread, option volatility, days from the expiration date, moneyness of options, trading strategy, and policy factors all have a great impact on the arbitrage profits and opportunities. In addition, significant arbitrage profits and opportunities indicate violations of put-call-futures parity. Although no equilibrium relationship exists between the Shanghai 50 stock index futures and the Shanghai 50 ETF options markets, efficiency in these markets has gradually improved.     

Shorting costs and profitability of long–short strategies

We examine how the profitability of long–short arbitrage strategies based on anomalies is affected after adjustment for two shorting costs: implicit cost due to unavailability of stocks in the short-leg to sell short and loan fees actually paid to stock lenders. The combined shorting cost amounts to almost 40 percent of long–short gross returns over the sample period from January 2006 to December 2017. After adjustment for these shorting costs, long–short arbitrage profits are thus reduced by almost 40 percent. Even after adjustment for risk, the proportion of shorting costs is also substantial. If other trade-related transaction costs are considered, long–short arbitrage profits would be reduced further. Our results provide explicit evidence that casts doubt on the profitability of long-short arbitrage strategies based on anomalies.     

Arbitrageur Heterogeneity, Investor Horizon and Arbitrage Opportunities: An Empirical Investigation

Evidence is provided that arbitrage profits in integrated currency and credit markets differ according to the initial asset allocation, trading horizon and investment objectives of arbitrageurs. It is shown that several types of profitable one-way strategies can coexist and profits are differently distributed across maturity horizons. Moreover, there are episodes in the markets where particular strategies are consistently profitable. Strategies using the spot market and two credit transactions to create a synthetic forward contract are most likely to result in profitable arbitrage opportunities. This is directly attributable to the higher level of transactions costs in the forward markets.     

Covered interest arbitrage profits: The role of liquidity and credit risk

We study the profitability of Covered Interest Parity (CIP) arbitrage violations and their relationship with market liquidity and credit risk using a novel and unique dataset of tick-by-tick firm quotes for all financial instruments involved in the arbitrage strategy. The empirical analysis shows that positive CIP arbitrage deviations include a compensation for liquidity and credit risk. Once these risk premia are taken into account, small arbitrage profits only accrue to traders who are able to negotiate low trading costs. The results are robust to stale pricing and the nonsynchronous trading occurring in the markets involved in the arbitrage strategy.     

Intraday indirect arbitrage between European index ETFs

We investigate intraday arbitrage between close substitute Exchange-traded Funds (ETFs) on two major European indices: FTSE100 and DAX30. Using intraday data, we establish arbitrage links between our ETFs through cointegration and error correction models. We then apply an arbitrage identification procedure on approximately 18 million intraday matched quotes, resulting in 1.95% and 0.2% of observations on the ETF pairs for FTSE100 and DAX30 as arbitrage opportunities. They occur on specific days in our sample, disappear relatively quickly, and result in economically insignificant profits from arbitrage trades within the mispricing window, indicating overall price efficiency.     

Fundamental strength strategy: The role of investor sentiment versus limits to arbitrage

This paper evaluates the return predictability of fundamental strength in a two-dimensional framework that considers both investor sentiment and limits to arbitrage simultaneously. Sentiment and limits to arbitrage have independent and overlapping explanatory power on the return predictability of fundamental strength. The return predictability of fundamental strength is more pronounced among stocks with high arbitrage costs following high sentiment. Among stocks with low arbitrage costs, the fundamental strength strategy is profitable only following high sentiment. However, among stocks with high arbitrage costs, the same strategy can earn economically and statistically significant profits even following low sentiment. Consistent with Miller (1977), we emphasize the interaction of sentiment and limits to arbitrage on stock valuation.     

Price reversal,transaction costs,and arbitrage profits in the real estate securities market

This paper studies the return reversals of exchange traded real estate securities using an arbitrage portfolio approach. Using the approach, we find that there exist significant return reversals in such securities. These return reversals could be exploited by arbitrage traders if trading costs can be ignored. However, the arbitrage profits disappear after deducting trading costs and taking into account the implicit cost of bid-ask spread. Thus, the real estate securities market is efficient at weekly intervals in the sense that one could not exploit the price reversals via some simple trading rules.     

An alternative approach to evaluating the agreement between financial markets

This research investigates that the price relationship between a stock index and its associated nearby futures markets can be explained by the cost-of-carry model using the concordance correlation (CC) coefficient in the US financial markets. The main purpose of this research is to confirm that the CC coefficient is an appropriate methodology to determine ex post arbitrage opportunities and to maximize ex ante arbitrage profits through the analysis of the price relationship derived from the cost-of-carry model. To increase the robustness of the results and to enable us to generalize our conclusions, this analysis is carried out in consideration of external uncertainty, including the marking-to-market procedure of futures contracts and the transaction cost on the stock index and its futures markets, under several assumptions related to the conditions of transactions. Examining transaction price data on the S&P 500 stock index and its futures markets shows that the CC coefficient gives a good result for ex ante arbitrage profits and is appropriate for analyzing the relationship between the observed stock index futures market price and its theoretical price derived from the cost-of-carry model.     

American futures options arbitrage: evidence from the Nikkei 225 options market

Previous studies have examined the profitability of European index options arbitrage. This paper adds to the literature by investigating the arbitrage profitability of American index options—the Nikkei 225 index futures options traded on the Singapore Stock Exchange (SGX). Using the real-time bid–ask prices, we find evidence of profitable arbitrage opportunities, while the frequency of observations violating no-arbitrage bounds and the magnitude of arbitrage profits decrease with the level of transaction costs. Our results have implications for the analysis of American options market efficiency. Failure to use bid–ask prices may lead to biased conclusions.     

Measuring Pricing Inefficiencies Under Stressful Market Conditions

This study examines the mispricing and time between arbitrage trades of the Hong Kong Hang Seng index futures and index options contracts under various stressed market conditions. Ex‐ante trading profits and differences in time between trades across up and down as well as stressed and non‐stressed markets are used to measure how well the derivative markets perform under emotional distress. We find evidence of illiquidity in stressed and down markets. In stressful markets and down markets, liquidity suppliers are less likely to trade against the informed traders. This, in turn, leads to longer time between trades and higher arbitrage profits.     

Profit Possibilities in Currency Markets: Arbitrage, Hedging, and Speculation

This paper reviews and extends the existing literature on covered arbitrage, delineates the conditions for profitable arbitrage with the hedging instruments of forward and options contracts in the foreign exchange markets, and defines the maximum possible profits out of a given market environment. Next, the simple rules on speculation are articulated with and without transaction costs, and then we show how speculation can be covered with options and forwards. Finally, speculation is integrated with arbitrage and hedging, and further compounding of profit possibilities is illustrated.     

Forecasting and Arbitrage of the Nikkei Stock Index Futures: An Application of Backpropagation Networks

A neural network model was used in forecasting the basis in SIMEX Nikkei Stock Index futures. Results for out of sample show that the neural network forecast performance was better than that of the ARIMA model. Also, a two-way ANOVA confirms that the employed neural network was able to provide the trader with more arbitrage profits than the traditional cost-of-carry model even though it observed relative less profitable arbitrage timing. The results can be attributed to the network';s higher ability to capture nonlinear market patterns.     

Past Returns and Investment Trust Discounts

Abstract:   The relationship between past net asset value returns and the current discount on investment trusts is investigated. The relationship is weaker for the component that is common to all trusts in the same sector, and is significantly stronger for more liquid trusts. The time lag before returns have their full impact on discounts is consistent with the requirements of distinguishing 'skill' from noise. Although discounts vary widely even within the same sector, the range of variation appears to be consistent with an arbitrage equilibrium, in which the profits of exploiting apparent pricing anomalies are just insufficient to invite arbitrage trades.     

Statistical arbitrage in the Black–Scholes framework

In this study, we prove the existence of statistical arbitrage opportunities in the Black–Scholes framework by considering trading strategies that consist of borrowing at the risk-free rate and taking a long position in the stock until it hits a deterministic barrier level. We derive analytical formulas for the expected value, variance and probability of loss for the discounted cumulative trading profits. The statistical arbitrage condition is derived in the Black–Scholes framework, which imposes a constraint on the Sharpe ratio of the stock. Furthermore, we verify our theoretical results via extensive Monte Carlo simulations.     

The determinants of a cross market arbitrage opportunity: theory and evidence for the European bond market

This paper examines the determinants of cross-platform arbitrage profits. We develop a structural model that enables us to decompose the likelihood of an arbitrage opportunity into three distinct factors: the fixed cost to trade the opportunity, the level at which one of the platforms delays a price update and the impact of the order flow on the quoted prices (inventory and asymmetric information effects). We then investigate the predictions from the theoretical model for the European Bond market with the estimation of a probit model. Our main finding is that the results found in the empirical part corroborate strongly the predictions from the structural model. The event of a cross market arbitrage opportunity has a certain degree of predictability where an optimal ex ante scenario is represented by a low level of spreads on both platforms, a time of the day close to the end of trading hours and a high volume of trade.     

The International Transmission of Arbitrage Information Across Futures Markets

Abstract:   This paper examines whether deviations from a domestic spot‐futures relation, as identified through mispricing series in stock index futures, spillover international boundaries. Such spillovers suggest that information from a mispricing series in one market conveys a signal of similar mispricing in another market. In the presence of arbitrage traders and in the absence of market frictions, mispricing series should be independent across international boundaries. The study employs a VAR analysis of stock index futures mispricing across three large futures markets – Australia, the UK and the USA. Using time zone differences, tests are conducted for the daily transmission of arbitrage information. The results reveal the relationship between mispricing series is bi‐directional. Based on this finding, a trading strategy is employed to examine the economic significance of apparent profits. The results show that some profits are possible after transaction costs but that a long horizon, probably beyond the scope of most traders, is required to exploit the spillover information.     

Has momentum lost its momentum?

We evaluate the robustness of momentum returns in the US stock market over the period 1965–2012. We find that momentum profits have become insignificant since the late 1990s. Investigations of momentum profits in high and low volatility months address the concerns about unprecedented levels of market volatility in this period rendering momentum strategy unprofitable. Momentum profits remain insignificant in tests designed to control for seasonality, up or down market conditions, firm size and liquidity. Past returns, can no longer explain the cross-sectional variation in stock returns, even following up markets. Investigation of post holding period returns of momentum portfolios and risk adjusted buy and hold returns of stocks in momentum suggests that investors possibly recognize that momentum strategy is profitable and trade in ways that arbitrage away such profits. These findings are partially consistent with Schwert (Handbook of the economics of finance. Elsevier, Amsterdam, 2003) that documents two primary reasons for the disappearance of an anomaly in the behavior of asset prices, first, sample selection bias, and second, uncovering of anomaly by investors who trade in the assets to arbitrage it away. In further analyses we find evidence that suggest two other possible explanations for the declining momentum profits, besides uncovering of the anomaly by investors, that involve decline in the risk premium on a macroeconomic factor, growth rate in industrial production in particular and relative improvement in market efficiency.     

The Valuation of Semiannual Bonds between Interest Payment Dates: A Correction

This note provides a correction to Taylor's 1988 work on the valuation of semiannual coupon bonds between interest payment dates. It shows that the discrepancy in values between Taylor's model and the standard Wall Street pricing formula is much smaller than indicated by Taylor and is unlikely to generate opportunities for arbitrage profits.