Financial Time Series and Their Features

نویسندگان

  • Josef ARLT
  • Markéta ARLTOVÁ
چکیده

Time series of prices as well as time series based on prices or time series which describe prices and their dynamism are called financial time series. These time series have some typical properties. There are two basic assumptions: normality and linearity of log returns of the financial time series. The distributions of log returns are usually skewed and more peaked that the normal distribution. The characteristic features of these time series can not be expressed by linear models as they suppose only a correlation dependence. The solution of the problems of non-normality and non-linearity in the financial time series can be in a very close connection.

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تاریخ انتشار 2003