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We present a study of stock market instability in a form of price shocks(jumps).In particular we want to answer two research questions(i)what are the market characteristics of the shocks in stock market prices? And(ii)what indicators can used to predict market shocks?We investigate ultra-high-frequency financial data to detect large but temporally localized price movements for 5 blue chip stocks traded at the Moscow Interbank Currency Exchange (MICEX) in a period of 255 trading days in 2012. A one minute frequency dataset is generated using the last transaction of those five stocks.