CONDITIONAL JUMP DYNAMICS IN STOCK RETURNS: EVIDENCE FROM MIST STOCK EXCHANGES

Abstract

This paper applies a conditional jump model that was proposed by Chan and Maheu (2002) to examine the stock market dynamics of Mexico, Indonesia, South Korea, and Turkey (MIST). We find that the conditional jump intensity parameter estimates are statistically significant and change dramatically between two sample periods. We show that a high probability of jumps today predicts a high probability of jumps in the next period. The impact of a previous shock to the next period's jump intensity is found to be higher in Turkey compared to other MIST countries. Contrary to the previous literature, we discover that after a stock market crash, it is more likely to see a negative jump (drop) again in the stock exchanges of Mexico and Indonesia. Only in Turkey, it is more likely to see a positive jump after market crashes.