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Mathematical modeling of firms and their capital structure

Mathematical modeling of firms and their capital structure
公司及其资本结构的数学模型
批准号:
92966-2012
负责人:
Hurd, Thomas
金额:
$1.53万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
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英文摘要
Financial crises such as the 2007/08 global meltdown lead to insolvency or default of firms, and in turn such firm defaults create further market distress that compounds the crisis. The damage done worldwide can be in the trillions of $. In accounting, a firm's balance sheet records the capital structure as book values of A (assets), D (debt) and E (equity) on a quarterly basis. On the other hand, Mathematical Finance takes a market perspective that sees the firm and all the securities that trade on it in terms of prices observed in the liquid capital markets. Market values reflect but do not equal book values, and are updated continuously not just 4 times a year. The two strands of this proposal are to develop market models of capital structure and default risk at the one-firm and system-wide levels. Traditional firm models focus on the randomness of A while treating D as non-random, and view securities such as credit default swaps as derivatives on A. A new "hybrid" approach takes A and D as joint stochastic processes and treats both credit and equity securities as derivatives on A and D, enabling trading and hedging across credit and equity markets. The first strand of this proposal is to address the central question about hybrid models: "How well can the collective of all observed market securities written on a firm be understood as derivatives on the unobserved processes A and D?" Financial systemic risk is defined as the risk that insolvency of some banks triggers further ``domino-style'' defaults, transmitted through links representing interbank loans that are identifiable in banks' balance sheets. My second strand is to investigate how capital structure and default risk for banks intertwine with random network theory and lead to mathematical answers to the primary question "Which structural aspects of a financial network most affect systemic risk?" In a nutshell, the twin strands of this proposal will extend the range of Mathematical Finance and have the potential to help protect Canada and the world from future crises inflicting incalculable damage.
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  • 财政年份:
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Models of systemic risk in financial networks
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  • 项目类别:
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Elucidating in vivo functions of hydrogen peroxide
  • 批准号:
    RGPIN-2019-06766
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.99万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
Elucidating in vivo functions of hydrogen peroxide
  • 批准号:
    RGPIN-2019-06766
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 负责人:
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国内基金
海外基金
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