The solution of several operations research problems requires the creation of a quantitative
model. Sensitivity analysis is a crucial step in the model building and result communication …

Without questioning the fact that to achieve efficiency emitters should pay for the true costs of
their actions (a core principle of economic policies such as pollution taxes), we find sufficient …

Geophysicists examine and document the repercussions for the earth's climate induced by
alternative emission scenarios and model specifications. Using simplified approximations …

Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new
disease and its global impacts are unprecedented, decisions are taken in a highly uncertain …

We investigate the role of economic uncertainty in the cross-sectional pricing of individual
stocks and equity portfolios. We estimate stock exposure to an economic uncertainty index …

Behavioral finance tries to make sense of financial data using models that are based on
psychologically accurate assumptions about people's beliefs, preferences, and cognitive …

Countercyclical risk aversion can explain major puzzles such as the high volatility of asset
prices. Evidence for its existence is, however, scarce because of the host of factors that …

The purpose of this paper is to examine the current role of social media on entrepreneurial
intention among the accounting students in Penang. A survey was designed and …

Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible
textbook treatment of the way decisions are made both when we have the statistical …

From the field's leading authority, the most authoritative and comprehensive advanced-level
textbook on asset pricing In Financial Decisions and Markets, John Campbell, one of the …