This paper aims to find the effectiveness of Cryptocurrency on well-formed portfolio with assets like Commodities, Exchange Traded Fund (ETFs), Stock assets and currency value of INR. There are several ways to determine the effectiveness in diversification. In this paper we use SOLVER, Modern...

This paper develops a formula to numerically estimate the unsubsidized, fair-market value of the toxic assets purchased with Federal Reserve loans. It finds that subsidy rates on these loans were on average 33.9 percent at origination. In contrast, by the 3rd quarter of the 2010, there was on...

XVA models for the calculation of CVA, FVA (see for example (Burgard and Kjaer 2013)), KVA(Green, Kenyon, and Dennis 2014), MVA (Green and Kenyon 2014) and TVA (Kenyon and Green 2014a) have frequently been formulated at the counterparty level. However, it is clear that some elements of the...

This project explores capital markets risk exposure from water use in key industrial sectors in the Great Lakes region, represented by a subset of the region's largest companies and water users. The largest industrial water users in the Great Lakes region include (in decreasing order):...

This study presents an analysis of the impact of asset price bubbles on the markets for cryptocurrencies and con-siders the standard risk management measure Value-at-Risk (“VaR”). We apply the theory of local martingales, present a styled model of asset price bubbles in continuous time and...

Non-maturing banking products are important asset and liability positions of banks. Their complexity inter alia arises from a non-trivial pass-through from market to product rates which makes the valuation and risk analysis challenging for both banks and banking supervisors. Based on a large...

I develop a model with two assets in which the hedging activity of derivatives dealers, interacting with market illiquidity, distorts the covariance structure of the market. I apply the model to hedging of counter party risk, and find strong support for the model's key predictions. Using...

While machine learning and its many variants are becoming established tools in quantitative finance, their application in a risk measurement context is less developed. This paper uses a scheme from probability theory and statistics – Gaussian Processes – and applies the corresponding...

Revised standards for capital requirements for market risks in a bank's trading book have been issued as a result of the Fundamental Review of the Trading Book. Under the new standards, default risk needs to be measured and capitalized through a dedicated Default Risk Charge (DRC). While...

In line with regulations and common risk management practice, the credit risk of a portfolio is managed via its potential future exposures (PFEs), expected exposures (EEs), and related measures, the expected positive exposure (EPE), effective expected exposure (EEE), and the effective expected...