The Swiss National Bank (SNB) has announced it will refrain from profit distribution in 2022 owing to the accumulation of a huge financial loss. In this paper we examine key determinants of the SNB's loss and shed light on its implications to monetary policy pursuit. In particular, we show that...

The Swiss National Bank (SNB) announced to refrain from profit distribution in 2022 owing to the accumulation of a huge financial loss. In this note we examine the key determinants of the SNB's loss and shed light on its implications to conduct monetary policy. In particular, we show that...

The risky assets prices of the bi-variate model are reviewed under the hegemonize concentration filtered physical probability space. In the stochastic variance of the Cox-Ingersoll-Ross process. The Mean-variance hedging expanse on the Föllmer-Schweizer decomposition is stringent to the...

This paper analyzes two instruments - asset-based reserve requirements put forward by Thomas Palley and asset-based capital requirements proposed by Charles Goodhart and Avinash Persaud - regarding their merits in reducing excessive asset price inflation. A theoretical framework of asset pricing...

We present the first necessary and sufficient conditions for there to be a unique perfect-foresight solution to an otherwise linear dynamic model with occasionally binding constraints, given a fixed terminal condition. We derive further conditions on the existence of a solution in such models....

This short and preliminary paper considers the relationship between fiscal, monetary and prudential policy instruments. It argues that the currently employed instruments (government borrowing, expansion of central bank balance sheets) do not address the underlying reason for slow global growth,...

Principal component analysis has been extensively used a simple device to extract latent factors from large datasets of observable variables. Monetary policy is a field in which the application of this methodology could prove particularly fruitful. Actual policymaking is implemented against a...

The authors use a Bayesian Markov chain Monte Carlo algorithm to estimate a model that allows temporary gaps between a true expectational Phillips curve and the monetary authority's approximating nonexpectational Phillips curve. A dynamic programming problem implies that the monetary authority's...