This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms' DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from quantitative...

There is a big controversy about the consequences of High-Frequency Traders (HFTs) activity on market quality. This empirical study uses a unique data set provided by the French regulator "Autorité des Marchés Financiers" and gives some evidence concerning the practices of these members under...

This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms’ DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from...

In this paper we discuss univariate statistical properties of volatility. We present a parsimonious univariate model that well reproduces two stylized facts of volatility: the power-law decay of the volatility probability density function with exponent α and the power-law decay of the...

We use a dataset of sell-side analysts' scenario-based equity valuation estimates to examine whether analysts can assess the state-contingent risk surrounding a firm's fundamental value. We find that the spread in analysts' scenario-based valuations captures the riskiness of operations and...