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Non-Bank Financial Institutions and Banks’ Fire-Sale Vulnerabilities
Banks carry significant exposures to nonbanks from direct dealings, but they can also be exposed, indirectly, through losses in asset values resulting from fire-sale events. We assess the vulnerability of U.S. banks to fire sales potentially originating from any of twelve separate nonbank segments and identify network-like externalities driven by the interconnectedness across nonbank types in terms of asset holdings. We document that such network externalities can contribute to very large multiples of an original fire sale, thus suggesting that conventional assessments of fire-sale ...
Working Paper
Scenario-based Quantile Connectedness of the U.S. Interbank Liquidity Risk Network
We characterize the U.S. interbank liquidity risk network based on a supervisory dataset, using a scenario-based quantile network connectedness approach. In terms of methodology, we consider a quantile vector autoregressive model with unobserved heterogeneity and propose a Bayesian nuclear norm estimation method. A common factor structure is employed to deal with unobserved heterogeneity that may exhibit endogeneity within the network. Then we develop a scenario-based quantile network connectedness framework by accommodating various economic scenarios, through a scenario-based moving average ...
Working Paper
Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models
Factor models have been widely used in practice. However, an undesirable feature of a high dimensional factor model is that the model has too many parameters. An effective way to address this issue, proposed in a seminal work by Tsai and Tsay (2010), is to decompose the loadings matrix by a high-dimensional known matrix multiplying with a low-dimensional unknown matrix, which Tsai and Tsay (2010) name the constrained factor models. This paper investigates the estimation and inferential theory of constrained factor models under large-N and large-T setup, where N denotes the number of cross ...
Working Paper
Reach for Yield by U.S. Public Pension Funds
This paper studies whether U.S. public pension funds reach for yield by taking more investment risk in a low interest rate environment. To study funds?? risk-taking behavior, we first present a simple theoretical model relating risk-taking to the level of risk-free rates, to their underfunding, and to the fiscal condition of their state sponsors. The theory identifies two distinct channels through which interest rates and other factors may affect risk-taking: by altering plans?? funding ratios, and by changing risk premia. The theory also shows the effect of state finances on funds?? ...
Working Paper
Reach for Yield by U.S. Public Pension Funds
This paper studies whether U.S. public pension funds reach for yield by taking more investment risk in a low interest rate environment. To study funds? risk-taking behavior, we first present a simple theoretical model relating risk-taking to the level of risk-free rates, to their underfunding, and to the fiscal condition of their state sponsors. The theory identifies two distinct channels through which interest rates and other factors may affect risk-taking: by altering plans? funding ratios, and by changing risk premia. The theory also shows the effect of state finances on funds? risk-taking ...
Discussion Paper
Monitoring Banks’ Exposure to Nonbanks: The Network of Interconnections Matters
The first post in this series discussed the potential exposure of banks to the open-end funds sector, by virtue of commonalities in asset holdings that expose banks to balance sheet losses in the event of an asset fire sale by these funds. In this post, we summarize the findings reported in a recent paper of ours, in which we expand the analysis to consider a broad cross section of non-bank financial institution (NBFI) segments. We unveil an innovative monitoring insight: the network of interconnections across NBFI segments and banks matters. For example, certain nonbank institutions may not ...
Working Paper
Simultaneous Spatial Panel Data Models with Common Shocks
I consider a simultaneous spatial panel data model, jointly modeling three effects: simultaneous effects, spatial effects and common shock effects. This joint modeling and consideration of cross-sectional heteroskedasticity result in a large number of incidental parameters. I propose two estimation approaches, a quasi-maximum likelihood (QML) method and an iterative generalized principal components (IGPC) method. I develop full inferential theories for the estimation approaches and study the trade-off between the model specifications and their respective asymptotic properties. I further ...
Working Paper
Non-Bank Financial Institutions and Banks’ Fire-Sale Vulnerabilities
Banks carry significant exposures to nonbanks from direct dealings, but they can also be exposed, indirectly, through losses in asset values resulting from fire-sale events. We assess the vulnerability of U.S. banks to fire sales potentially originating from any of twelve separate non-bank segments and identify network-like externalities driven by the interconnectedness across non-bank types in terms of asset holdings. We document that such network externalities can contribute to very large multiples of an original fire sale, thus suggesting that conventional assessments of fire-sale ...