This paper seeks to inform about a feature of monetary policy that is largely overlooked, yet occupies a central role in modern monetary and financial systems, namely central bank collateral frameworks. Their importance can be understood by the observation that the money at the core of these systems, central bank money, is injected into the economy on terms, not defined in a market, but by the collateral frameworks and interest rate policies of central banks. Using the collateral framework of the Eurosystem as a basis of illustration and case study, the paper brings to light the functioning, reach, and impact of collateral frameworks. A theme that emerges is that collateral frameworks may have distortive effects on financial markets and the wider economy. They can, for example, bias the private provision of real liquidity and thereby also the allocation of resources in the economy as well as contribute to financial instability. Evidence is presented that the collateral framework in the euro area promotes risky and illiquid collateral and, more generally, impairs market forces and discipline. The paper also emphasizes the important role of ratings and government guarantees in the Eurosystem’s collateral framework.
We show that collateral plays an important role in the design of debt contracts, the provision of credit, and the incentives of lenders to monitor borrowers. Using a unique data set from a large bank containing timely assessments of collateral values, we find that the bank responded to a legal reform that exogenously reduced collateral values by increasing interest rates, tightening credit limits, and reducing the intensity of its monitoring of borrowers and collateral, spurring borrower delinquency on outstanding claims. We thus explain why banks are senior lenders and quantify the value of claimant priority.
We apply a new and innovative approach to communicating risks associated with financial products that should support investors in making better investment decisions. In our experiments, participants are able to gain "simulated experience" by random sampling of a previously described return distribution. We find that simulated experience considerably improves participants’ understanding of the underlying risk-return profile and prompts them to reconsider their investment decisions and to choose riskier financial products without regretting their higher risk-taking behavior afterwards. This method of experienced-based learning has high potential for being integrated into real-world applications and services.
The financial system performs vital functions for the world economy. Very often one of more aspect of this system can be described by means of a complex graph. In this chapter under the generic name of financial networks we indicate several different systems all related to the world of finance.
We examine time discounting factors in an international survey. Our analysis reveals a significant relationship between time discount factors and historical equity premiums across 27 countries. This result implies that higher historical equity risk premiums are observed in countries where survey participants tend to be more short-term oriented. This finding is consistent with the explanation of the equity premium puzzle provided by myopic loss aversion.