We address the paradox that financial innovations aimed at risk-sharing appear to have made the world riskier. Financial innovations facilitate hedging idiosyncratic risks among agents; however, aggregate risks can be hedged only with liquid assets. When risk-sharing is primitive, agents...

The possibility to minimize volatility of the systematic risk while maximizing returns, is the use of an optimized buy long/sell short strategy that takes into account, that the market model is kinky. The equation of the market model – including a beta plus for increasing markets and a beta...

We address the paradox that financial innovations aimed at risk-sharing appear to have made the world riskier. Financial innovations facilitate hedging idiosyncratic risks among agents; however, aggregate risks can be hedged only with liquid assets. When risk-sharing is primitive, agents...

This study shows that the statistical property of the commercial banks' rate of returns can be used to explain the resistance to using Value-at-risk (VaR) and stress tests to determine banks' capital adequacy. We showed that “fat-tail” risk requires more capital than the “normal tail”...

We model and measure simultaneous large losses of the market value of insurers to understand the impact of shocks on the insurance sector. The downside risk of insurers is explicitly modelled by common and idiosyncratic risk factors. Since reinsurance is important for the capacity of insurers,...

Financial intermediaries often provide guarantees that resemble out-of-the-money put options, exposing them to tail risk. Using the U.S. life insurance industry as a laboratory, we present a model in which variable annuity (VA) guarantees and associated hedging operate within the regulatory...

We apply the Diebold-Yilmaz connectedness index methodology on sovereign credit default swaps (SCDSs) to estimate the network structure of global sovereign credit risk. In particular, using the elastic net estimation method, we separately estimate networks of daily SCDS returns and volatilities...

We develop an agent-based simulation of the catastrophe insurance and reinsurance industry and use it to study the problem of risk model homogeneity. The model simulates the balance sheets of insurance firms, who collect premiums from clients in return for insuring them against intermittent,...

The role of insurance sector has grown in importance. While there is a plethora of academic literature on the needs for a banking regulation, literature on insurance regulation is scarce and mainly focused on asymmetry issues. In this paper, we describe the reasons for an insurance regulation....

We examine the systemic risk of 61 SIFIs (i.e., 33 G-SIBs and 28 IAIGs) between 2010 and 2023. We estimate SIFI’s CoVaR using a single index model with LASSO variable selection and construct a set of tail risk network-based systemic risk measures for SIFIs. The results show that two shocks...