Statistical learning models are proposed for the prediction of the probability of a spike in the electricity DART (day-ahead minus real-time price) spread. A...

A new factor-based representation of implied volatility surfaces is proposed. The factors adequately capture the moneyness and maturity slopes, the smile att...

In recent years, we have witnessed a mini-revolution around early-stage financing. In some places, like the UK, more money is raised on Equity Crowdfunding...

Generally, the semiclosed-form option pricing formula for complex financial models depends on unobservable factors such as stochastic volatility and jump int...

We propose the option realized variance as a new observable covariate that integrates high frequency option prices in the inference of option pricing models....

Security prices are important inputs for estimating credit risk models. Yet, to obtain an accurate firm-specific credit risk assessment, one needs a reliable...

The Great Recession has shaken the foundations of the financial industry and led to tighter solvency monitoring of both the banking and insurance industries....

Portfolio credit risk models are very often constructed with correlation matrices serving as proxies for interrelations in the creditworthiness of each compa...

Credit spreads and CDS premiums are investigated before, during and after the financial crisis with a flexible credit risk model. The latter is designed to c...

A dynamic global hedging procedure making use of futures contracts is developed for a retailer of the electricity market facing price, load and basis risk. S...

This paper presents a framework in which many structural credit risk models can be made hybrid by randomizing the default trigger, while keeping the capita...

We develop a flexible discrete-time hedging methodology that miminizes the expected value of any desired penalty function of the hedging error within a gener...

In this paper, we derive and empirically test a regime-shifting dynamic term structure model for pricing interest rate caps. The central state variables are...

This paper develops a dynamic risk management model to determine a firm's optimal risk management strategy. This strategy has two elements: first, for low ...

This paper presents a framework where many existing structural credit risk models can be made hybrid by using a transformation of leverage to define the defa...

This paper develops a dynamic model to determine a firm's optimal risk management strategy when it faces uncertainty about its future profitability and inves...

We propose a simple modification of lattice schemes reducing the bias of lattice option prices with respect to continuous time and state option prices. The m...

Moody's KMV method is a popular commercial implementation of the structural credit risk model pioneered by Merton (1974). It is an algorithm for estimating...

In Duan, Gauthier and Simonato (1999), analytical formulas to approximate the price European options in the GARCH framework were developed. These formulas a...

One critical difficulty in implementing Merton’s (1974) credit risk model is that the underlying asset value cannot be directly observed. The model requires...