This study examines how crude oil price volatility affected the stock returns of major global and gas corporations during three oil-price wars that took place between October 1991 June 2020. Episodes considered include 1998 Saudi Arabia – Venezuela war, 2014–2016 conflict 2020 Russia war in a time unprecedented crisis caused by COVID-19 pandemic. The persistence prices times specific is capture...

Abstract The following paper addresses a problem of inference in financial engineering, namely online time-varying volatility estimation. The proposed method is based on an adaptive predictor for the stock price, built from an implicit integration formula. An estimate for the current volatility value which minimizes the mean square prediction error is calculated recursively using an LMS algorit...

We analyse times between consecutive transactions for a diverse group of stocks registered on the NYSE and NASDAQ markets, and we relate the dynamical properties of the intertrade times with those of the corresponding price fluctuations. We report that market structure strongly impacts the scale-invariant temporal organisation in the transaction timing of stocks, which we have observed to have ...

a r t i c l e i n f o This paper examines the relationship between US crude oil and stock market prices, using a Markov-Switching vector error-correction model and a monthly data set from 1859 to 2013. The sample covers the entire modern era of the petroleum industry, which typically begins with the first drilled oil well in Titusville, Pennsylvania in 1858. We estimate a two-regime model that ...

Does Noise Create the Size and Value Effects? Black (1986) and Summers (1986) suggest that the price of a stock can deviate from its intrinsic value by a random noise. In this paper, we show that a stock with such a noise has a higher expected return when its market capitalization or price-dividend ratio is low, because a low market capitalization or price-dividend ratio is a signal that the no...