'Noise trader risk' and Bayesian market making in FX derivatives: rolling loaded dice?

ABSTRACT This paper develops and simulates a model of a Bayesian market maker who transacts with noise and position traders in derivative markets. The impact of noise trading is examined relative to price determination in FX futures, noise transmission from futures to options, and risk-management behaviour linking the two markets. The model simulations show noise trading in futures results in wider bid–ask spreads, increased price volatility, and greater variation in hedging costs. Above all, the Bayesian market maker manages price-risk by trend chasing not for speculative purposes, but to avoid being caught on the wrong side of the market. The pecuniary effects from this risk-management strategy suggest that noise trading tends to constrain the market maker’s capacity to arbitrage; particularly when the underlying price is mean averting as opposed to a Martingale and trading sessions exhibit significant price volatility. Copyright r 2008 John Wiley & Sons, Ltd. Copyright r 2008 John Wiley & Sons, Ltd.Noise trading; market making; FX derivatives; Bayesian agent; noise transmission

Cross Market Effects of stocks Short-Selling Restrictions: Evidence from the September 2008 Natural Experiment

Using intraday data, this paper investigates empirically the joint stock and corporate bond markets responses to the September 2008 stocks short sell ban. The study intends to exploit the natural experiment in order to asses the impact of the stock market short sale restrictions (stock market liquidity shock) on corporate bond market variables during the nancial crisis period. The short sell ban was one of the levers that regulators pulled in order to manage the financial crisis. The economic question is whether this lever worked or should have been pulled given the complexity of financial market linkages and news dissemination. Recent financial events suggested that, when market conditions are severe, liquidity can rapidly decline or even disappear. Liquidity shocks are the potential channel through which asset prices are influenced by liquidity. However, the standard theoretical equilibrium asset pricing models do not consider trading and thus ignore the time and cost of transforming cash into financial assets and viceversa hence ignoring the impact of the liquidity shocks. Therefore, investigating liquidity shocks empirically, their transmission across markets is of high interest especially during times of high turbulence as we recently witnessed. We use vector autoregression (VAR) approach to model stock and corporate bond returns, volatilities and transaction costs simultaneously, obtaining an econometric reduced form that incorporates causal and feedback effects among the two markets variables. Using VAR tools, we found that shocks in stock market (short sell ban) had a significant negative impact on corporate bond market variables during the time under investigation.

The Self-Financing Equation in High Frequency Markets

High Frequency Trading (HFT) represents an ever growing proportion of all financial transactions as most markets have now switched to electronic order book systems. The main goal of the paper is to propose continuous time equations which generalize the self-financing relationships of frictionless markets to electronic markets with limit order books. We use NASDAQ ITCH data to identify significant empirical features such as price impact and recovery, rough paths of inventories and vanishing bid-ask spreads. Starting from these features, we identify microscopic identities holding on the trade clock, and through a diffusion limit argument, derive continuous time equations which provide a macroscopic description of properties of the order book. These equations naturally differentiate between trading via limit and market orders. We give several applications (including hedging European options with limit orders, market maker optimal spread choice, and toxicity indexes) to illustrate their impact and how they can be used to the benefit of Low Frequency Traders (LFTs)

Alternative Pricing and Delivery Strategies for Alberta Cattle Feeders

This study evaluates the risk and returns to cattle feeding in Alberta from the application of alternative marketing and pricing strategies. Feedlot finishing of 650 pound calves and 800 pound yearlings is modeled over the years from 1980 to 1993. The results of the study are based on the domestic and US marketing of live cattle using traditional cash marketing, futures contracts, put options, and forward production contracting systems. Use of the Western Domestic Feed Barley contract is also simulated. The results showed that barley price changes produced relatively small return changes compared to feeder and fat cattle price changes. An important source of return risk was found to be basis risk. Production contracting strategies which eliminated basis risk were found to provide the best returns in a market based risk-return comparison. The use of put options did not add value to cattle feeding investments.Demand and Price Analysis, Marketing,

An analysis of spending behaviour under liquidity constraints with an application to financial hedging

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Dealer Behavior and Trading Systems in Foreign Exchange Markets

We study dealer behavior in the foreign exchange spot market using a detailed data set on the complete transactions of four dealers. There is strong support for an information effect in incoming trades. Although there is evidence that the information effect increases with trade size in direct bilateral trades, the direction of a trade seems to be more important. The large share of electronically brokered trades is probably responsible for this finding. In direct trades it is the initiating dealer that determines trade size, while in broker trades it is the dealer submitting the limit order that determines the maximum trade size. We also find strong evidence of inventory control for all the four dealers. Inventory control is not, however, manifested through a dealer's own prices as suggested in inventory models. This is different from the strong price effect from inventory control found in previous work by Lyons [J. Fin. Econ 39(1995) 321]. A possible explanation for this finding is that the introduction of electronic brokers allowed more trading options. Furthermore, we document differences in trading styles among the four dealers, especially how they actually control their inventories.Foreign Exchange; Trading; Microstructure

Liquidity and Asset Prices

We review the theories on how liquidity affects the required returns of capital assets and the empirical studies that test these theories. The theory predicts that both the level of liquidity and liquidity risk are priced, and empirical studies find the effects of liquidity on asset prices to be statistically significant and economically important, controlling for traditional risk measures and asset characteristics. Liquidity-based asset pricing empirically helps explain (1) the cross-section of stock returns, (2) how a reduction in stock liquidity result in a reduction in stock prices and an increase in expected stock returns, (3) the yield differential between on- and off-the-run Treasuries, (4) the yield spreads on corporate bonds, (5) the returns on hedge funds, (6) the valuation of closed-end funds, and (7) the low price of certain hard-to-trade securities relative to more liquid counterparts with identical cash flows, such as restricted stocks or illiquid derivatives. Liquidity can thus play a role in resolving a number of asset pricing puzzles such as the small-firm effect, the equity premium puzzle, and the risk-free rate puzzle.Liquidity; Liquidity Risk; Asset Prices