Simulation of Volatility Trading using Nikkei Stock Index Option based on Stock Bulletin Board

Autor: Eiichi Umehara, Hirohiko Suwa, Yuki Ogawa, Tatsuo Yamashita, Yui Hirose, Kodai Sasaki, Kota Tsubouchi
Rok vydání: 2018
Předmět:
Zdroj: IEEE BigData
DOI: 10.1109/bigdata.2018.8622427
Popis: We developed a simulation program for trading Nikkei stock index options and verifies the validity of the volatility index (VIX) prediction model proposed by Suwa et al. (2017). We simulated two cases from 18 Nov. 2014 to 29 Jun. 2016. One case involved a benchmark of trading every day during that period and the other was in accordance with the buy/sell/hold instructions of Suwa et al.’s VIX prediction model. When using the call option butterfly spread according to their model’s instructions, profit increased from −3,926 to 536 yen. When using the put option butterfly spread according to their model’s instructions, profit increased from −4,818 to −799 yen. Therefore, Suwa et al.’s VIX prediction model is effective.
Databáze: OpenAIRE