We investigate the channel through which fluctuations in the market liquidity of real-sector repo collateral cause arbitrage crashes and failure of systemically important intermediaries during the global financial crisis. Intermediaries pledge productive capital as repo collateral to fund the...

Recent regulation mandating the clearing of credit default swaps (CDS) by a Central Clearing Counterparties (CCP), has rendered the latter a systemically important institution, whose failure poses a serious threat to global financial stability. This work investigates the potential failure of a...

Following the 2008 financial crisis, regulation mandates the clearing of the CDS market through Central Clearing Counter-parties (CCPs). Large CCPs are now designated as 'Global Systemically Important Institutions' (GSIIs), whose unlikely-but-plausible failure threatens global financial market...

Recently, for standard asset classes, the first mutual clearing agreements between Central Coun- terparties (CCPs) have come into existence. There are already global concerns over the unique threats and benefits which arise from these situations, and further concern for an extension of agree-...

We identify the origin of the contradicting perspectives on credit creation offered by Austrian, Mainstream and Post Keynesian economists as the neglect of the primacy of such assets as goods, properties and securities, which always pre-exist any transaction and loan. We develop a unified...

We develop a tractable model to study the macroeconomic impacts of limited arbitrage by linking arbitrage activities with the macroeconomy through collateralization. We show that the interactions between speculative trading and the business cycle can work as a powerful transmission mechanism,...

A common method of valuing the equity in highly leveraged transactions is the flows-to-equity method. When applying this method various formulas can be used to calculate the time-varying cost of equity. In this paper we show that some commonly used formulas are inconsistent with the assumptions...

This paper proposes a machine learning approach to estimate physical forward default intensities. Default probabilities are computed using artificial neural networks to estimate the intensities of the inhomogeneous Poisson processes governing default process. The major contribution to previous...

We investigate the compensation of counterparty exposure in the prices of structured products. Our analysis reveals that product issuers do not compensate retail investors for counterparty exposure before the Lehman default. Post-Lehman, retail prices no longer neglect this risk. We also measure...

We develop a dynamic model of banking to assess the effects of liquidity and leverage requirements on banks' insolvency risk. In this model, banks face taxation, flotation costs of securities, and default costs and maximize shareholder value by making their financing, liquid asset holdings, and...