We introduce a set of time series analysis indicators under an event based framework of directional changes (DC) and overshoots. Our aim
is to map continuous financial market price data into the so-called DC Framework - A state based discretization of basically dissected price
time series. The DC framework analysis relied on understanding the price time series as an event-based process, as an alternative of focusing
on their stochastic character. Defining a scheme for state reduction of DC Framework, we show that it has a dependable hierarchical structure
that permits for analysis of financial data. We show empirical examples within the Saudi Stock Market. The new DC indicators represent the
foundation of a completely new generation of financial tools for studying volatility, risk measurement, and building advanced forecasting and
automated trading models.
Diğer ID | JA37GK44BV |
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Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 1 Mart 2016 |
Yayımlandığı Sayı | Yıl 2016 Cilt: 6 Sayı: 1 |