On the determinants of portfolio choice: An experimental study via fractional programming
This paper applies the algorithm proposed by Özdemir and Giresunlu (2004) to the foreign stock markets as well as Istanbul Stock Exchange National-100 index and its constituent stocks in order to address the risk perceptions of investors from different markets.
An optimal value of the risk aversion constant, which corresponds to the minimum risky portfolio for each market is obtained by using fractional programming and the risk level of different markets are compared based on the risk aversion constant calculated. Stock markets are ordered according to the investors' risk-bearing attitude. The question of why the hot capital flows prefer Turkish market is answered in this context.