We present a detailed bubble analysis of the Bitcoin to US Dollar price dynamics from January 2012 to February 2018. We introduce a robust automatic peak detection method that classifies price time series into periods of uninterrupted market growth (drawups) and regimes of uninterrupted market...

In this paper we extend the Bayesian Proxy VAR to incorporate time variation in the parameters. A Gibbs sampling algorithm is provided to approximate the posterior distributions of the model's parameters. Using the proposed algorithm, we estimate the time-varying effects of taxation shocks in...

This paper applies a novel methodology to a unique dataset of large concentrations during the period 1990-2002 to assess merger control's effectiveness. By using data gathered from several sources and employing different evaluation techniques, we analyze the economic effects of the European...

This paper applies an intuitive approach based on stock market data to a unique dataset of large concentrations during the period 1990-2002 to assess the effectiveness of European merger control. The basic idea is to relate announcement and decision abnormal returns. Under a set of four...

Purpose: This paper examines the volatility of stock return in Dhaka stock exchange, BangladeshMethodology: Using Random Walk model (RW), Autoregressive model (AR), Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, and extensive GARCH model with Normal, and Student...

The aim of this paper is to use an econometric model for the period (3/1/2000- 31/12/2016) in order to examine if a (Μ&Α) affects the share prices of eight big US acquiring banks. GARCH analysis will be thus used on daily data. Some advantages of GARCH models will be explained

This paper presents an innovative approach to extracting factors which are shown to predict the VIX, the S&P 500 Realized Volatility and the Variance Risk Premium. The approach is innovative along two different dimensions, namely: (1) we extract factors from panels of filtered volatilities - in...

Based on regime shifts test with MSAR model,The paper estimates the MSVAR model to investigate the interactive relationships between stock market and oil price using monthly data ranging from Jan 1991 to Jul 2014. The results show that the volatilities of both stock market and crude oil price...

The assumption that market efficiency informs the pricing of oil stocks is critical to understanding the co-movement between stock markets and oil markets. To test this assumption in relation to various types of real oil price changes, this article proposes a two-stage analysis method that...