The term financial innovation refers to the ongoing development of financial products designed to achieve particular client objectives, such as offsetting a particular risk exposure (such as the default of a borrower) or to assist with obtaining financing. Examples pertinent to this crisis included: the adjustable-rate mortgage; the bundling of subprime mortgages into mortgage-backed securities or collateralized debt obligations (CDO) for sale to investors, a type of securitization; and a form of credit insurance called credit default swaps(CDS). The usage of these products expanded dramatically in the years leading up to the crisis. They vary in complexity and the ease with which they can be valued on the books of financial institutions.
Certain financial innovation may have the effect of circumventing regulations, such as off-balance sheet financing that affects the leverage or capital cushion reported by major banks. For example, Martin Wolf wrote in June 2009: "...an enormous part of what banks did in the early part of this decade – the off-balance-sheet vehicles, the derivatives and the 'shadow banking system' itself – was to find a way round regulation."[79]
The CDO in particular enabled financial institutions to obtain investor funds to finance subprime and other lending, extending or increasing the housing bubble and generating large fees. A CDO essentially places cash payments from multiple mortgages or other debt obligations into a single pool, from which the cash is allocated to specific securities in a priority sequence. Those securities obtaining cash first received investment-grade ratings from rating agencies. Lower priority securities received cash thereafter, with lower credit ratings but theoretically a higher rate of return on the amount invested.[80][81]
For a variety of reasons, market participants did not accurately measure the risk inherent with this innovation or understand its impact on the overall stability of the financial system.[82] For example, the pricing model for CDOs clearly did not reflect the level of risk they introduced into the system. The average recovery rate for "high quality" CDOs has been approximately 32 cents on the dollar, while the recovery rate for mezzanine CDO's has been approximately five cents for every dollar. These massive, practically unthinkable, losses have dramatically impacted the balance sheets of banks across the globe, leaving them with very little capital to continue operations.[83]
Another example relates to AIG, which insured obligations of various financial institutions through the usage of credit default swaps. The basic CDS transaction involved AIG receiving a premium in exchange for a promise to pay money to party A in the event party B defaulted. However, AIG did not have the financial strength to support its many CDS commitments as the crisis progressed and was taken over by the government in September 2008. U.S. taxpayers provided over $180 billion in government support to AIG during 2008 and early 2009, through which the money flowed to various counterparties to CDS transactions, including many large global financial institutions.[84][85]
The limitations of a widely-used financial model also were not properly understood.[86][87] This formula assumed that the price of CDS was correlated with and could predict the correct price of mortgage backed securities. Because it was highly tractable, it rapidly came to be used by a huge percentage of CDO and CDS investors, issuers, and rating agencies.[87] According to one wired.com article[87]: "Then the model fell apart. Cracks started appearing early on, when financial markets began behaving in ways that users of Li's formula hadn't expected. The cracks became full-fledged canyons in 2008—when ruptures in the financial system's foundation swallowed up trillions of dollars and put the survival of the global banking system in serious peril... Li's Gaussian copula formula will go down in history as instrumental in causing the unfathomable losses that brought the world financial system to its knees."
As financial assets became more and more complex, and harder and harder to value, investors were reassured by the fact that both the international bond rating agencies and bank regulators, who came to rely on them, accepted as valid some complex mathematical models which theoretically showed the risks were much smaller than they actually proved to be in practice [88]. George Soros commented that "The super-boom got out of hand when the new products became so complicated that the authorities could no longer calculate the risks and started relying on the risk management methods of the banks themselves. Similarly, the rating agencies relied on the information provided by the originators of synthetic products. It was a shocking abdication of responsibility
Certain financial innovation may have the effect of circumventing regulations, such as off-balance sheet financing that affects the leverage or capital cushion reported by major banks. For example, Martin Wolf wrote in June 2009: "...an enormous part of what banks did in the early part of this decade – the off-balance-sheet vehicles, the derivatives and the 'shadow banking system' itself – was to find a way round regulation."[79]
The CDO in particular enabled financial institutions to obtain investor funds to finance subprime and other lending, extending or increasing the housing bubble and generating large fees. A CDO essentially places cash payments from multiple mortgages or other debt obligations into a single pool, from which the cash is allocated to specific securities in a priority sequence. Those securities obtaining cash first received investment-grade ratings from rating agencies. Lower priority securities received cash thereafter, with lower credit ratings but theoretically a higher rate of return on the amount invested.[80][81]
For a variety of reasons, market participants did not accurately measure the risk inherent with this innovation or understand its impact on the overall stability of the financial system.[82] For example, the pricing model for CDOs clearly did not reflect the level of risk they introduced into the system. The average recovery rate for "high quality" CDOs has been approximately 32 cents on the dollar, while the recovery rate for mezzanine CDO's has been approximately five cents for every dollar. These massive, practically unthinkable, losses have dramatically impacted the balance sheets of banks across the globe, leaving them with very little capital to continue operations.[83]
Another example relates to AIG, which insured obligations of various financial institutions through the usage of credit default swaps. The basic CDS transaction involved AIG receiving a premium in exchange for a promise to pay money to party A in the event party B defaulted. However, AIG did not have the financial strength to support its many CDS commitments as the crisis progressed and was taken over by the government in September 2008. U.S. taxpayers provided over $180 billion in government support to AIG during 2008 and early 2009, through which the money flowed to various counterparties to CDS transactions, including many large global financial institutions.[84][85]
The limitations of a widely-used financial model also were not properly understood.[86][87] This formula assumed that the price of CDS was correlated with and could predict the correct price of mortgage backed securities. Because it was highly tractable, it rapidly came to be used by a huge percentage of CDO and CDS investors, issuers, and rating agencies.[87] According to one wired.com article[87]: "Then the model fell apart. Cracks started appearing early on, when financial markets began behaving in ways that users of Li's formula hadn't expected. The cracks became full-fledged canyons in 2008—when ruptures in the financial system's foundation swallowed up trillions of dollars and put the survival of the global banking system in serious peril... Li's Gaussian copula formula will go down in history as instrumental in causing the unfathomable losses that brought the world financial system to its knees."
As financial assets became more and more complex, and harder and harder to value, investors were reassured by the fact that both the international bond rating agencies and bank regulators, who came to rely on them, accepted as valid some complex mathematical models which theoretically showed the risks were much smaller than they actually proved to be in practice [88]. George Soros commented that "The super-boom got out of hand when the new products became so complicated that the authorities could no longer calculate the risks and started relying on the risk management methods of the banks themselves. Similarly, the rating agencies relied on the information provided by the originators of synthetic products. It was a shocking abdication of responsibility
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