Investing for a financial institution /

Mode of access: Internet.

Effects of information technology on financial services systems : hearing before the Committee on Banking, Finance, and Urban Affairs, House of Representatives, Ninety-eighth Congress, second session, September 12, 1984.

Mode of access: Internet.

1992 census of financial, insurance, and real estate industries.

[v. 1] Geographic area series (FC92-A-1) -- [v. 2] Nonemployer statistics series (FC92-N-1) -- [v. 3] Subject series: Establishment and firm size (FC92-S-1) -- [v. 4] Sources of revenue (FC92-S-2) -- [v. 5] Miscellaneous subjects (FC92-S-3).

Branching policies for the nation's financial system /

"Statement before the Subcommittee on Financial Institutions, United States Senate Committee on Banking, Housing, and Urban Affairs, presented on December 8, 1976, San Francisco, California."

Effects of information technology on financial services systems.

Mode of access: Internet.

Development of the financial service industry in Illinois : report of the Illinois Task Force on Financial Services.

"May, 1986."

Financial forum /

Description based on: June 1989; title from cover.

1992 census of financial, insurance, and real estate industries.

"FC92-S-1."

1992 census of financial, insurance, and real estate industries.

"FC92-A-1."

Financial Services Regulatory Relief Act of 2006 : report (to accompany S. 2856).

"May 18, 2006."

Strengthening the supervision and regulation of the depository institutions : hearings before the Committee on Banking, Housing, and Urban Affairs, United States Senate, One Hundred Second Congress, first session, on reform federal deposit insurance, protect the deposit insurance funds, and improve supervision and regulation of and disclosure relating to federally insured depository institutions ....

"February 26, 1991 ... April 23, 1991"--Vol. 1. "April 25, 1991 ... November 25, 1991"--Vol. 2.

Official U.S. and international financing institutions : a guide for exporters and investors.

Mode of access: Internet.

Predicting Financial Sources for the Lodging Industry

Given the various changes that have occurred in the financing of the lodging industry, investors and developers interested in the industry are concerned about future sources of capital and the terms at which they will be available. This article presents results of a Delphi study which illustrates the extent to which individual financial institutions are expected to provide capital to the lodging industry and looks at terms and criteria used to make loans.

Optimal Capital Requirements in Financial Networks with Fire Sales

I explore and analyze a problem of finding the socially optimal capital requirements for financial institutions considering two distinct channels of contagion: direct exposures among the institutions, as represented by a network and fire sales externalities, which reflect the negative price impact of massive liquidation of assets.These two channels amplify shocks from individual financial institutions to the financial system as a whole and thus increase the risk of joint defaults amongst the interconnected financial institutions; this is often referred to as systemic risk. In the model, there is a trade-off between reducing systemic risk and raising the capital requirements of the financial institutions. The policymaker considers this trade-off and determines the optimal capital requirements for individual financial institutions. I provide a method for finding and analyzing the optimal capital requirements that can be applied to arbitrary network structures and arbitrary distributions of investment returns.

In particular, I first consider a network model consisting only of direct exposures and show that the optimal capital requirements can be found by solving a stochastic linear programming problem. I then extend the analysis to financial networks with default costs and show the optimal capital requirements can be found by solving a stochastic mixed integer programming problem. The computational complexity of this problem poses a challenge, and I develop an iterative algorithm that can be efficiently executed. I show that the iterative algorithm leads to solutions that are nearly optimal by comparing it with lower bounds based on a dual approach. I also show that the iterative algorithm converges to the optimal solution.

Finally, I incorporate fire sales externalities into the model. In particular, I am able to extend the analysis of systemic risk and the optimal capital requirements with a single illiquid asset to a model with multiple illiquid assets. The model with multiple illiquid assets incorporates liquidation rules used by the banks. I provide an optimization formulation whose solution provides the equilibrium payments for a given liquidation rule.

I further show that the socially optimal capital problem using the ``socially optimal liquidation" and prioritized liquidation rules can be formulated as a convex and convex mixed integer problem, respectively. Finally, I illustrate the results of the methodology on numerical examples and

discuss some implications for capital regulation policy and stress testing.