LOG IN⠴ݱâ

  • ȸ¿ø´ÔÀÇ ¾ÆÀ̵ð¿Í Æнº¿öµå¸¦ ÀÔ·ÂÇØ ÁÖ¼¼¿ä.
  • ȸ¿øÀÌ ¾Æ´Ï½Ã¸é ¾Æ·¡ [ȸ¿ø°¡ÀÔ]À» ´­·¯ ȸ¿ø°¡ÀÔÀ» ÇØÁֽñ⠹ٶø´Ï´Ù.

¾ÆÀ̵ð ÀúÀå

   

¾ÆÀ̵ð Áߺ¹°Ë»ç⠴ݱâ

HONGGIDONG ˼
»ç¿ë °¡´ÉÇÑ È¸¿ø ¾ÆÀ̵ð ÀÔ´Ï´Ù.

E-mail Áߺ¹È®ÀÎ⠴ݱâ

honggildong@naver.com ˼
»ç¿ë °¡´ÉÇÑ E-mail ÁÖ¼Ò ÀÔ´Ï´Ù.

¿ìÆí¹øÈ£ °Ë»ö⠴ݱâ

°Ë»ö

SEARCH⠴ݱâ

ºñ¹Ð¹øÈ£ ã±â

¾ÆÀ̵ð

¼º¸í

E-mail

ÇмúÀÚ·á °Ë»ö

The Information content of the risk-neutral skewness for Volatility Forecasting

  • Suk Joon Byun KAIST Business School, Korea
  • Jun Sik Kim KAIST Business School, Korea
This paper investigates the information content of the risk-neutral skewness derived from S&P 500 index option prices for forecasting future volatility. Empirical results show that the risk-neutral skewness provides incremental explanatory power for future volatility. Moreover, the models with the risk-neutral skewness dominate in terms of out-of-sample forecasting performance, especially during the 2007-2008 financial crisis.

  • Suk Joon Byun
  • Jun Sik Kim
This paper investigates the information content of the risk-neutral skewness derived from S&P 500 index option prices for forecasting future volatility. Empirical results show that the risk-neutral skewness provides incremental explanatory power for future volatility. Moreover, the models with the risk-neutral skewness dominate in terms of out-of-sample forecasting performance, especially during the 2007-2008 financial crisis.