Studies in Simulation, Optimal Control, Risk Management and Contingent Capital
Studies in Simulation, Optimal Control, Risk Management and Contingent Capital
批准号:
RGPIN-2017-05441
负责人:
Reesor, Ronald
金额:
$1.17万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31
中文摘要
该研究计划集中在两套相互联系和互补的定量金融研究计划:1)金融模拟,最优控制和数值方法; 2)或有资本证券研究。第一个项目侧重于具有提前行使特征的衍生证券的定价和风险管理的有效方法。这些技术对于金融机构和投资者的交易和内部风险管理流程以及确定满足内部和外部(监管)需求所需的资本水平都很重要。蒙特卡罗方法将被广泛研究,沿着还有其他一些适用于此类问题的数值方法。这项工作的结果有更广泛的应用,如金融投资组合管理,发电站的操作,并在大型系统,如一系列水库的维护的优化调度。
自2008年金融危机以来,各国政府和监管机构重新开始关注如何避免纳税人资助的金融机构救助,而或有资本(CoCo)则获得了很大的利益。CoCos是发行时为债务(或优先股)的工具,当发行金融机构处于财务困境时转换为普通股。转换的效果是在金融机构最难以通过发行新证券在资本市场上筹集资金的时候重新调整其资本。此外,转换稀释了转换前股东的所有权股份,并可能抑制金融行业的过度风险承担,因为损失将强加给公司的投资者,而不是纳税人。CoCos没有一套标准的条款,CoCos的属性取决于触发转换的条件和CoCos持有人在转换时收到的普通股数量(例如,转换价格)。
该提案的结果将加深我们对CoCo属性的理解,使监管机构能够使用适当的工具来评估各种CoCo设计,并为发行人和投资者提供更清晰的CoCo价值。此外,该研究还将探讨与CoCos相关的定价和风险管理问题,例如发行人如何管理CoCos负债的利率风险,以及将该负债转换为无息股权的可能性。对CoCos的透彻理解,包括设计规范、定价和对冲模型,以及相关的财务和风险目标,将产生重要的社会效益。精心设计的CoCos将加强个体金融机构,从而加强金融体系,降低纳税人资助救助的可能性。此外,这种理解将有助于促进发行和二级市场交易,从而有可能降低资本成本。
英文摘要
This research plan centres on two sets of linked and complementary quantitative finance research programs: 1) simulation, optimal control, and numerical methods in finance; and 2) studies in contingent capital securities. The first project focusses on efficient methods for pricing and risk management of derivative securities with early exercise features. These techniques are important to financial institutions and investors for trading and internal risk management processes and also for determining required capital levels to satisfy both internal and external (regulatory) demands. Monte Carlo methods will be extensively studied, along with some other numerical methods suited for such problems. Results from this work have broader applications such as financial portfolio management, the operation of power generating stations, and the optimal scheduling of maintenance in large systems such as a series of reservoirs.
Since the 2008 financial crisis there has been renewed interest by governments and regulators to find ways to avoid taxpayer-funded bailouts of financial institutions (FIs), with contingent capital (CoCo) garnering much of this interest. CoCos are instruments that are debt (or preferred shares) when issued and that convert to common equity when the issuing FI is in financial distress. Conversion has the effect of re-capitalizing the FI exactly when it would be most difficult for them to raise funds in capital markets through the issuance of new securities. Additionally, conversion dilutes the ownership stake of the pre-conversion shareholders and may potentially curb excessive risk taking in the financial industry as losses will be imposed on the firm's investors, rather than taxpayers. There is no standard set of terms for CoCos and the properties of CoCos vary depending on the conditions that trigger conversion and the number of common shares that CoCo holders receive upon conversion (e.g., the conversion price).
Results from this proposal will deepen our understanding of the properties of CoCos, allow regulators the proper tools to assess various CoCo designs, and provide issuers and investors more clarity on CoCo value. Additionally, the research will explore related pricing and risk-management issues associated with CoCos, such as how an issuer can manage interest-rate risk on CoCo liabilities, with the possibility of conversion changing this liability to non-interest-paying equity. A thorough understanding of CoCos, including design specifications, pricing and hedging models, and the associated financial and risk objectives will have important societal benefits. Well-designed CoCos will strengthen both individual FIs and, as a result, the financial system, making taxpayer-funded bailouts less likely. Furthermore, this understanding will help facilitate issuance and secondary market trading, potentially lowering the cost of capital.
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Studies in Simulation, Optimal Control, Risk Management and Contingent Capital
-
批准号:RGPIN-2017-05441
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.17万
-
财政年份:2022
-
负责人:Reesor, Ronald
-
依托单位:
Studies in Simulation, Optimal Control, Risk Management and Contingent Capital
-
批准号:RGPIN-2017-05441
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.17万
-
财政年份:2021
-
负责人:Reesor, Ronald
-
依托单位:
Studies in Simulation, Optimal Control, Risk Management and Contingent Capital
-
批准号:RGPIN-2017-05441
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.17万
-
财政年份:2019
-
负责人:Reesor, Ronald
-
依托单位:
Studies in Simulation, Optimal Control, Risk Management and Contingent Capital
-
批准号:RGPIN-2017-05441
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.17万
-
财政年份:2018
-
负责人:Reesor, Ronald
-
依托单位:
Studies in Simulation, Optimal Control, Risk Management and Contingent Capital
-
批准号:RGPIN-2017-05441
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.17万
-
财政年份:2017
-
负责人:Reesor, Ronald
-
依托单位:
国内基金
海外基金
Simulation and certification of the ground state of many-body systems on quantum simulators
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Abolfazl Bayat
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依托单位: