In this paper we propose a new multivariate GARCH model with time-varying conditional correlation structure. The approach adopted here is based on the decomposition of the covariances into correlations and standard deviations. The time-varying conditional correlations change smoothly between two...

The phenomenon of the frequency basis (i.e. a spread applied to one leg of a swap to exchange one oating interest rate for another of a different tenor in the same currency) contradicts textbook no-arbitrage conditions and has become an important feature of interest rate markets since the...

In this paper quasi-closed-form solutions are derived for the price of equity and VIX derivatives under the assumption that the underlying follows a 3/2 process with jumps in the index. The newly-found formulae allow for an empirical analysis to be performed. In the case of the pure-diffusion...

Event studies indicate that divestitures create shareholder value. However, managers are generally disinclined to execute a divestiture due to their inherent preferences for growing the firm’s assets. Governance structures can play a significant role in restraining this agency conflict. Using...

The recent debate between Dabrowski, Gomulka and Rostowski, (2001) and Stiglitz and Ellerman (2001) as to key fators determining the success or failure of policies of liberalisation and privatization, illustrates the need for a concise theoretical foundation as to how, when and where policies...

Disclosure rules directly affect the availability of information to investors and therefore influence their choices. Australia has a unique disclosure environment whereby firms are required to immediately disclose any information that could have an effect on the price of the firm’s securities....

Traditional market makers are losing their importance as automated systems have largely assumed the role of liquidity provision in markets. We update the model of Glosten and Milgrom (1985) to analyze this new world: we add multiple securities and introduce an automated market maker who prices...

We develop a continuous-time asset price model to capture the time series momentum documented recently. The underlying stochastic delay differential system facilitates the analysis of effects of different time horizons used by momentum trading. By studying an optimal asset allocation problem, we...

How do traders process and learn from market information, what trading strategies should they use, and how does learning affect the market? This paper proposes a learning model of an articial limit order market with asymmetric information to address these issues. Using a genetic algorithm as a...

This paper provides new empirical evidence that price-based momentum indicator variables can enhance the ability of accounting variables in explaining cross-sectional stock returns. We apply both OLS and state-space modelling to a sample of firms included in the Russell 3000 index over the...