The existing replication policies at top finance journals are far weaker than the policies at top economics journals. This paper explores both the costs and benefits of having a stronger replication policy in the context of my failed 2010 initiative to develop a unified policy across all top...

This paper provides a first step in developing a system-wide stress simulation. The model incorporates several important features of the financial system. These include several types of institution (including banks and non-banks) and how their actions may propagate and amplify stress. Rather...

There are different approaches in the use of mathematical model to explain the spread of infectious disease. In epidemiological study the models like Cox,B Spline, SIR and Transmission probability are used to explain herding effect. Bulk of the studies shows the use of these models in...

Green bonds, as a means of financing environmentally friendly projects, began to be issued in China in 2015, and the issuance amount surged considerably in 2016. This study attempts to analyze the existence of greenium in China's green bond market and its determining factors. The analysis of the...

Despite the pandemic and economic fallout, the year 2020 can be regarded as quite successful for a host of financial markets in terms of appreciation of various currencies against the US Dollar and equity indices’ positive yield. The Russian ruble was among the weakest currencies and the RTS...

This paper presents a new technique for the empirical analysis of some capital market ratios and stock valuation. We first show how capital market ratios (such as the price to earning ratio) can be plotted in a constructed stock valuation box. Within the box we can also plot the contours of...

Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon - instead, I shift focus to severe downside risk (i.e., crashes). I use the cointegrating relationship between the log S&P Composite Index and log earnings over 1871 to 2015, combined with...

The paper analyses the effects of technology-based innovative techniques on Bulgarian capital market -algorithmic trading, in general, and high frequency trading (HFT), in particular - from macroeconomic costs-benefits perspective. Overwhelmingly, empirical studies emphasize that HFT improves...

In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...

This article investigates the time-series properties of cryptocurrency returns and compares them with currency and commodity returns. We perform and analyze the mean reversion, normality, unit root, high and low returns, correlation, Autoregressive Moving Average (ARMA) [2,2], Autoregressive...