We study the case of mispricing in the odd lots equity market in Brazil. Contrary to expectation, odd lot investors are paying higher prices than round lot investors. The pricing difference between markets is affected by market returns, volatility and spreads. Our main hypothesis is that; once...

Liquidity is easily perceived but not easily defined in financial markets. In this study, we present a class of liquidity measures called Proper Liquidity Measures (PLM). We prove that widely used measure such as percent quoted spreads and the Amihud measure fulfill our axioms. PLMs can be...

The aim of this paper is to introduce a risk measure that extends the Gini-type measures of risk and variability, the Extended Gini Shortfall, by taking risk aversion into consideration. Our risk measure is coherent and catches variability, an important concept for risk management. The analysis...

We evaluated the performance of multivariate models for forecasting Value at Risk (VaR), Expected Shortfall (ES) and Expectile Value at Risk (EVaR). We used Historical Simulation (HS), Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroskedastic (DCC-GARCH) and copula...

The lack of hedging between comonotonic assets is undisputed. Indeed, some authors define the absence of hedging through the property of comonotonicity. In this paper, we study instances where benefits from diversification exist even if the assets in the portfolio do not hedge each other, i.e.,...

This paper introduces an approach designed for personal credit risk. We define a structural model related to the financial balance of an individual, allowing for cashflow seasonality and deterministic trends in the process. This formulation is best suited for short-term loans. Using this model,...

In financial decisions, model risk has been recognized as an important source of uncertainty. The revision of the Basel II suggests that financial institutions quantify and manage their model risk. Focusing on risk forecasting literature, we identify two main approaches to quantify model risk:...

Ever since the introduction of Markowitz's classical quadratic programming problem, transforming portfolio optimization into a linear programming (LP) problem has drawn much attention from researchers and practitioners, given the tractability of LP. However, using non-linear risk measures and...

We propose a family of range based risk measures to generalize the role of Value at Risk (VaR) in the formulation of Range Value at Risk (RVaR) considering other risk measures induced by a tail level. We discuss this type of measure in detail and its theoretical properties and representations....

A monetary risk measure is a function that maps a financial position to how much should be invested in a risk-free manner to make it acceptable. Corporations keep some cash invested in liquid risk-free assets to provide liquidity in times of distress or to guarantee the ability to make...