OPTIMAL TRADE EXECUTION IN ILLIQUID MARKETS

We study optimal trade execution strategies in financial markets with discrete order flow. The agent has a finite liquidation horizon and must minimize price impact given a random number of incoming trade counterparties. Assuming that the order flow N is given by a Poisson process, we give a full analysis of the properties and computation of the optimal dynamic execution strategy. Extensions, whereby N is a Markov‐modulated compound Poisson process are also considered. We derive and compare the properties of the various cases and illustrate our results with computational examples.     

Leadership and culture in the MENA region: An analysis of the GLOBE project

This paper focuses on leadership and culture in the Middle East and North Africa (MENA) region, using data from the GLOBE Project. The results show that cultural practices are manifested by higher in-group collectivism and power distance, whilst cultural values are represented by a common desire for higher performance and future orientation. Examination of the leadership prototypes shows a preference for honest, just and inspirational leadership that encourages loyalty. Further examination of the leadership prototype using cluster analysis produced four sub-clusters of leadership profiles. These revealed the similarities and differences among the MENA region's leadership preferences. Opportunities for further research and implications for managers were discussed.     

On the market viability under proportional transaction costs

This paper studies the market viability with proportional transaction costs. Instead of requiring the existence of strictly consistent price systems as in the literature, we show that strictly consistent local martingale systems (SCLMS) can successfully serve as the dual elements such that the market viability can be verified. We introduce two weaker notions of no arbitrage conditions on market models named no unbounded profit with bounded risk (NUPBR) and no local arbitrage with bounded portfolios (NLABPs). In particular, we show that the NUPBR and NLABP conditions in the robust sense are equivalent to the existence of SCLMS for general market models. We also discuss the implications for the utility maximization problem.     

Corruption and private participation infrastructure projects: The influence of vicarious experience and national animosity

This paper investigates the influence of vicarious experience and national animosity on the relationship between corruption and the performance of private participation infrastructure projects. Our analysis of 27,264 projects in 114 countries from 1997 to 2013 shows that higher levels of corruption are associated with higher risk of project failure. We also find that this effect is weakened by the presence of other firms from the same industry, as firms may learn from other companies how to deal with corruption. In contrast, we find the effect is strengthened by the presence of other firms from different industries. This result is due to a lower applicability of knowledge and to an increase in national animosity and discrimination from local stakeholders.     

Minimizing the Probability of Lifetime Ruin under Random Consumption

Abstract

We determine the optimal investment strategy in a financial market for an individual whose random consumption is correlated with the price of a risky asset. Bayraktar and Young consider this problem and show that the minimum probability of lifetime ruin is the unique convex, smooth solution of its corresponding Hamilton-Jacobi-Bellman equation. In this paper we focus on determining the probability of lifetime ruin and the corresponding optimal investment strategy. We obtain approximations for the probability of lifetime ruin for small values of certain parameters and demonstrate numerically that they are reasonable ones. We also obtain numerical results in cases for which those parameters are not small.     

A UNIFIED FRAMEWORK FOR PRICING CREDIT AND EQUITY DERIVATIVES

We propose a model which can be jointly calibrated to the corporate bond term structure and equity option volatility surface of the same company. Our purpose is to obtain explicit bond and equity option pricing formulas that can be calibrated to find a risk neutral model that matches a set of observed market prices. This risk neutral model can then be used to price more exotic, illiquid, or over‐the‐counter derivatives. We observe that our model matches the equity option implied volatility surface well since we properly account for the default risk in the implied volatility surface. We demonstrate the importance of accounting for the default risk and stochastic interest rate in equity option pricing by comparing our results to Fouque et al., which only accounts for stochastic volatility.     

Does social learning promote cooperation in social dilemmas?

In this study, we analyze how emergence of cooperation is related to social learning. Cooperation is an example of social behavior. It is frequency-dependent that is the success of a particular behavior depends on the number of individuals adopting each behavioral trait. We study how social learning can affect the evolution of cooperation in social dilemmas represented by two well-known games: Prisoner’s Dilemma (PD) and Snowdrift (SD). We show that, in the PD game, increase in the proportion of social learners leads to the alleviation of the social dilemma. Whereas, in the SD game increasing the proportion of social learners does not always lead to the alleviation of the social dilemma, that is there is no simple monotonic relation between social learning and the weakening of the social dilemma.

     

Minimizing the Probability of Ruin When Consumption is Ratcheted

Abstract

We assume that an agent’s rate of consumption is ratcheted; that is, it forms a nondecreasing process. We assume that the agent invests in a financial market with one riskless and one risky asset, with the latter’s price following geometric Brownian motion as in the Black-Scholes model. Given the rate of consumption, we act as financial advisers and find the optimal investment strategy for the agent who wishes to minimize his probability of ruin. To solve this minimization problem, we use techniques from stochastic optimal control.