Financial bubbles and recent behaviour of the Latin American stock markets

The international financial and economic crisis highlights that central banks should go beyond their traditional emphasis on low inflation to adopt an explicit goal of financial stability. Our paper addresses this highly topical issue of macro-prudential framework with the focus on effectiveness...

The ongoing global financial crisis has become prominently visible since September 2008. This crisis affected the whole world and enhanced the importance of policy implementation to mitigate financial crises in future. Many academics blamed insufficient domestic regulation as the reason of...

This paper reviews the basic methodologies for the estimation of Value at Risk (VaR) that are currently in use in international stock and financial market regulation and portfolio management. The main shortcomings of these methodologies are exposed and the direct consequences of ignoring these...

A new methodology for testing and dating economic bubbles based on a sign test with recursive median adjustment is presented. The methodology, originally proposed by Soo and Shin (2001) to detect random walks, is well-suited, theoretically, to deal with the many features of high-frequency...

Novel data-driven analyses, appropriate for detecting economic instability in non-stationary time series, are developed using functional principal component analysis (fPCA) and Synchrosqueezing. fPCA is applied in a new way, aggregating multiple financial time series to identify periods of...

We examine the relationship between oil and stock markets in Europe and the USA at the aggregate and sectoral levels using wavelet multi-resolution analysis. Wavelet decomposition of the original time series is useful in characterizing the oil–stock price relationship at different time scales,...

Study of the financial market dependencies have become one of the most active and successful areas of research in the time series econometrics and economic forecasting during the recent decades. Current financial crisis have shown that understanding of the dependencies in the markets is crucial...

This paper has two aims. First, we study the impact of oil price variables (change and volatility) on stock market returns under regime shifts in the case of Gulf Cooperation Council (GCC) countries. We employ a Markov regime-switching model to generate regime probabilities for oil market...

The VPIN, or Volume-synchronized Probability of INformed trading, metric is introduced by Easley, Lopez de Prado and O'Hara (ELO) as a real-time indicator of order flow toxicity. They find the measure useful in predicting return volatility and conclude it may help signal impending market...