The catastrophic failures of risk management systems in 2008 bring to the forefront the need for accurate and flexible estimators of market risk. Despite advances in the theory and practice of evaluating risk, existing measures are notoriously poor predictors of loss in high-quantile events. To...

We propose a multidimensional extension for Patton's (2006) bivariate Dynamic Copulas. We also introduce a Dynamic Mixture Copula whose parameters and weights follow well defined dynamic processes. Both approaches are more flexible to adapt to financial data than currently available Copula...

The uncertainty in financial market compels the investors to reallocate their capital from stock market to other complementary alternatives like Gold, Oil and Dollar. This research aims to explore the leverage effect of Gold-Oil-Dollar rates on Indian stock market. The work extensively covers...

Quantifying risk is pivotal for every financial institution. In the conventional framework, time is the key aspect for all the well-established risk measures. However, extracting and analyzing the frequency information conveyed by financial data, could yield improved insights about the inherent...

This paper investigates whether pre-specified macroeconomic factors can adequately proxy for the pervasive influences in stock returns, within the context of macroeconomic linear factor models motivated by the multifactor Arbitrage Pricing Theory (APT). Variation in stock returns can be...

This paper extends the output growth model tested by Levine and Zervos (1998) by including a measure for capital allocation efficiency proxied by stock price informativeness. Using a sample of 62 countries, this study finds that stock price informativeness as measured by firm-specific return...

Blockchain, based on the distributed ledger technology, provides immediate settlement of transactions of digital assets and direct ownership. Since settlement of transactions is immediate, the blockchain system requires an ultra short tenor interest rate curve that is always up-to-date. Today,...

Deriving estimators from historical data is common practice in applied quantitative finance. The availability of ever larger data sets and easier access to statistical algorithms has also led to an increased usage of historical estimators. In this research note, we illustrate how to assess the...

We employ a wavelet approach and conduct a time-frequency analysis of dynamic correlations between pairs of key traded assets (gold, oil, and stocks) covering the period from 1987 to 2012. The analysis is performed on both intra-day and daily data. We show that heterogeneity in correlations...

We present in this paper an alternative approach to determining and predicting the fluctuations in the daily prices and stock returns of a first-generation bank in the Nigerian Stock Market (NSM). The approach uses a three-state Markov to estimate the expected duration of the asset returns in...