In this paper we look at the impact of broad policy reforms on the levels of corruption. We use a structural break approach to identify country specific time periods in which significant shifts in corruption levels take place. We then correlate these times of change with a set of co-variates...

This paper analyzes and quantifies the idea of model risk in the environment of internal model building. We define various types of model risk including estimation risk, model risk in distribution and model risk in functional form. By the quantification of these concepts we analyze the impact of...

This paper analyzes and quantifies the idea of model risk in the environment of internal model building. We define various types of model risk including estimation risk, model risk in distribution and model risk in functional form. By the quantification of these concepts we analyze the impact of...

In this paper, I explore the presence of non-linearity for the daily series of 10-year Japanese government bond (JGB) yields by using the Tsay (1989) test, I find the threshold nonlinearity due to a significant change in Japanese debt management policy.I test to find the sixth lag of the series...

This paper describes the first thorough analysis of the interest risk of German banks on an individual bank level. We develop a new method that is based on time series of accountingbased data to quantify the interest risk of banks and apply it to analyze the German banking system. We find...

We examine the private information associated with insider trades using a Chinese data set. Insider buys positively forecast individual stock returns and insider sales negatively forecast individual stock returns. Classifying insiders as corporate managers and institutional investors, we find...

This study has carried out some preliminary time series analyses to examine the impacts of demonetization which was carried out in India on 8 November 2016, on the well-known Indian stock index, BSE SENSEX, and four major sectoral indices viz., BSE BANKEX, BSE Auto, BSE Reality and BSE Smallcap,...

A well-known issue associated with linear time-series models is the so-called spurious regression problem when the variables are non-stationary. To cure this issue, one usually differences the data first, tests the stationarity of the first differences, and then runs regressions on the revised...