This empirical paper comprehensively sets out the impact of underspecification on a key foundational concept in empirical finance, the linear factor model. It places emphasis on the extensive consequences of factor omission for model estimation and interpretation. Factor omission in time-series...

In this paper we provide a mathematical derivation that links traditional time-value-of-money concepts to Metcalfe value, and use Bitcoin, Facebook as numerical examples of the proof. There is compelling evidence that suggests that the growth and price of bitcoin and other cryptocurrencies are...

Oil traders find it challenging to process all information and choose which sources to follow.Inventories represent a perfect source, as they provide important information regarding realagents' intertemporal decisions and can easily be observed in real time. However, inventoriesdo not contain...

We perform a cost-benefit analysis of the green investments contained in the Italian National Recovery and Resilience Plan (NRRP). We compute the future discounted benefits in terms of expected emission reductions using various estimates of the Social Cost of Carbon, and compare them with the...

This paper aims to characterize the time series dynamics of asset price under the statistical probability measure in the presence of bubbles (defined according to the local martingale theory). We advocate that quadratic-variation risk premium can serve as a mechanism leading to forward-looking...

Using a Markov switching unobserved component model we decompose the term premium of the North American CDX investment grade index (CDX-IG) into a permanent and a stationary component. We explain the evolution of the two components in relating them to monetary policy and stock market variables....

This paper proposes a Near Explosive Random-Coefficient autoregressive model for asset pricing which accommodates both the fundamental asset value and the recurrent presence of autonomous deviations or bubbles. Such a process can be stationary with or without fat tails, unit-root nonstationary...

Using a Markov switching unobserved component model we decompose the term premium of the North American CDX investment grade index (CDX-IG) into a permanent and a stationary component. We explain the evolution of the two components in relating them to monetary policy and stock market variables....

Forecasts of stock market volatility is an important input for market participants in measuring and managing investment risks. Thus, understanding the most appropriate methods to generate accurate is key. This paper examines the ability of Machine Learning methods, and specifically Artificial...

During times of market stress, arbitrage capital cannot be timely deployed, and assets trade away from fundamentals. This gives rise to transitory price volatility, a latent factor that signals difficulties in the market-making process. I propose a market-wide illiquidity measure based on SPY's...