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Non-stationary volatility with highly anti-persistent increments: evidence from range-based volatility

Publication at Faculty of Mathematics and Physics, Faculty of Social Sciences |
2013

Abstract

We analyze range-based volatility of three highly capitalized companies to show that the volatility process is non-stationary and its logarithmic transformation together with logarithmic increments is approximately normally distributed. Further, the increments are shown to be highly anti-persistent.

Together with the assertion that logarithmic returns are normally distributed, and uncorrelated with time-varying volatility, we propose a new returns-generating process. The whole procedure is based on empirical observations without any limiting assumptions.

We reconstruct returns series which remarkably mimic the real-world series and posses the standard stylized facts - uncorrelated returns with heavy tails, strongly auto correlated absolute returns and volatility clustering.