The Human Capital (HK) and Statistical Life Values (VSL) differ sharply in their empirical pricing of a human life and lack a common theoretical background to justify these differences. We first contribute to the theory and measurement of life value by providing a unified framework to formally...

We present results on the mortality statistics of the COVID-19 epidemic in a number of countries. Our data analysis suggests classifying countries in five groups, 1) Western countries, 2) East Block , 3) developed South East Asian countries, 4) Northern Hemisphere developing countries and 5)...

Corporate climate disclosures based on the TCFD recommendations are considered an important prerequisite to managing climate-related financial risks. At the same time, current disclosures are imprecise, inaccurate, and greenwashing-prone. Yet, existing research on this matter suffers from small...

Health insurance status can change over the life cycle for exogenous reasons (e.g. Medicare for the elders, PPACA for younger agents, termination of coverage at retirement in employer-provided plans). Durability of the health capital, endogenous mortality and morbidity, as well as backward...

The ongoing SARS-CoV-2 pandemic is stressing the world population, health care system and economies at a level not experienced since WWII or the last “Spanish flu” pandemic of 1918. This shock provides a real-life test of the resilience of human societies, challenging our understanding and...

Macroeconomic time series often involve a threshold effect in their ARMA representation, and exhibit long memory features. In this paper we introduce a new class of threshold ARFIMA models to account for this. The threshold effect is introduced in the autoregressive and/or the fractional...

We analyze portfolio credit risk in light of dynamic quot;frailty,quot; by which the credit qualities of different firms depend on common unobservable time-varying default covariates. Frailty is estimated to have a large impact on estimated conditional mean default rates, above and beyond those...

We present a self-consistent model for explosive financial bubbles, which combines a mean-reverting volatility process and a stochastic conditional return which reflects nonlinear positive feedbacks and continuous updates of the investors' beliefs and sentiments. The conditional expected returns...

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...

Following Levy and Roll [2010], we posit that the market portfolio is the efficient tangent Markowitz portfolio, i.e., it is mean-variance efficient. We then reverse engineer the expected returns and variance terms with constraints imposed by empirical data on a hierarchy of asset baskets. This...