Initial coin offerings (ICOs) are a new mode of financing start-ups that saw an explosion in popularity in 2017 but declined in popularity in the second half of 2018 as regulatory pressure, instances of fraud and reports of poor performance began to undermine their reputation.
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.
We create a hypothetical scenario to study the role bond funds play in intensifying shocks to the financial system. Using data from 2018 and 2007, we find that bond funds play a larger role now than they did in the past.
Non-bank financing provides an important funding source for the economy and is a valuable alternative to traditional banking. It helps enhance the efficiency and resiliency of the financial system while giving customers more choices for their financial services. Unlike banking, it is not prudentially regulated.
Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the literature on asset pricing are consistent with the survey evidence.
When redeeming shares for investors, bond fund managers must choose a mix of cash and bond sales to honour their commitments. This note uses machine learning algorithms to uncover new patterns in decisions fund managers make to meet redemptions.