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In this article, we account for the liquidity risk in the underlying assets when pricing European exchange options, which has not been considered in the literature. An Ornstein-Uhlenbeck process with the mean -reversion property is selected to model the market liquidity risk, whose impacts on the underlying assets are assumed to be imposed with a liquidity discount factor. Under this framework, we develop a simplified approach to obtain the pricing formula, a distinguishing feature of which is that it does not require any numeraire change. We first transform the exchange option's pricing PDE into a pricing PDE of the European vanilla option, which is then solved in closed-form using the characteristic function approach. Finally, we present accuracy tests and sensitivity analysis to demonstrate the correctness of the formula and the influence of introducing the liquidity risk on exchange options, respectively.

We analyze the valuation partial differential equation for European contingent claims in a general framework of stochastic volatility models where the diffusion coefficients may grow faster than linearly and degenerate on the boundaries of the state space. We allow for various types of model behavior: the volatility process in our model can potentially reach zero and either stay there or instantaneously reflect, and the asset-price process may be a strict local martingale. Our main result is a necessary and sufficient condition on the uniqueness of classical solutions to the valuation equation: the value function is the unique nonnegative classical solution to the valuation equation among functions with at most linear growth if and only if the asset-price is a martingale., Comment: Keywords: Stochastic volatility models, valuation equations, Feynman-Kac theorem, strict local martingales, necessary and sufficient conditions for uniqueness

In this paper, we take into account a very general setting with : (i) a set of stochastic investment opportunities, (ii) a set of risky assets, (iii) a riskless asset paying a stochastic interest rate, (iv) a stochastic inflation risk, (v) stochastic labor income , and (vi) HARA preferences. We compute a quasi-explicit solution for both the optimal consumption and asset allocation. This solution is based on two changes in the probability measure. We also show that the investor behaves as if he could rely on his wealth augmented by the expected value of all his “forward real labor incomes”