No description available.

Note:

Note:

published_or_final_version / Business Administration / Master / Master of Business Administration

published_or_final_version / Urban Studies / Master / Master of Social Sciences

published_or_final_version / Comparative Literature / Doctoral / Doctor of Philosophy

No description available.

No description available.

In the first chapter of my Thesis I propose a model of front-running in noisy market environment. I demonstrate that even if the front-runner/predator has no initial knowledge about the position of a distressed trader he will be still able to front-run his orders in a linear Bayesian-Nash equilibrium. This is possible because initial orders of the distressed trader tend to reveal his initial position. The contribution of this chapter is also in the analysis of long-term dynamics of predatory trading under Gaussian uncertainty. Second chapter treats about the dark-pools of liquidity which are highly popular systems that allow participants to enter unpriced orders to buy or sell securities. These orders are crossed at a specified time at a price derived from another market. I present an equilibrium model of coexistence of dark-pools of liquidity and the dealer market. Dealer market provides the immediate execution, whereas the dark-pool of liquidity provides lower cost of trading. Risk-averse agents in equilibrium optimally choose between safe dealer market and cheaper dark-pool of liquidity. In the third chapter I solve for a partial-equilibrium optimal consumption and investment problem, when one of the investment assets is traded infrequently. Opportunity to trade the "illiquid asset" arises upon the occurrence of a Poisson event. Only when such event occurs a trader is able to change (increase or decrease) her position in the illiquid asset. The investor can consume continuously from the bank account. After deriving HJB equation, I analyze in details the implications of illiquidity on the optimal level of consumption, allocation and welfare. The optimal policy is solved using algorithm from aeronautics.

This thesis aims to examine the response of a behavioural finance model and a financial frictions model to the financial crisis which was triggered in 2007.This thesis will test both models by using indirect inference as an evaluation method.The results of this study show that,when compared with the rational expectation model, behavioural expectation does not improve the model's ability to explain the real world. Therefore, behavioural expectation is unable to respond to the current crisis to form expectations .However,the financial frictions model which is suggested by the literature is found to be an efficient model that improves the model's overall performance. This thesis finds that although financial shocks contribute to the out put gap variation during the crisis, it does not respond so much to the variations of inflation and policy. interest rate.