We use a survey approach to learn about valuation professionals' choices and implementations of valuation techniques in practice. The survey design allows us to control for a respondent's professional subgroup (e.g., consulting), education, experience, and valuation purpose characteristics. We...

In this paper, I estimate the effect of mandatory greenhouse gas (GHG) emissions disclosure on corporate value. Using the introduction of mandatory GHG emissions reporting for firms listed on the Main Market of the London Stock Exchange as a source of exogenous variation, I find that firms most...

We investigate how sell-side analysts adjust their earnings forecasts following ESG incidents. We find that following negative ESG news, analysts significantly downgrade their earnings forecasts at all horizons, including long-term. Forecast revisions account for all the negative impact of ESG...

We provide a new method to derive the state price density per unit probability based on option prices and GARCH model. We derive the risk neutral distribution using the result in Breeden and Litzenberger (1978) and the historical density adapting the GARCH model of Barone-Adesi, Engle, and...

We develop a discrete-time stochastic volatility option pricing model, which exploits the information contained in high-frequency data. The Realized Volatility (RV) is used as a proxy of the unobservable log-returns volatility. We model its dynamics by a simple but effective (pseudo) long memory...

We model the dynamics of asset prices and associated derivatives by consideration of the dynamics of the conditional probability density process for the value of an asset at some specified time in the future. In the case where the asset is driven by Brownian motion, an associated "master...