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文件名:  Regulatory-Optimal_Funding.pdf
资料下载链接地址: https://bbs.pinggu.org/a-3671948.html
附件大小:
英文标题:
《Regulatory-Optimal Funding》
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作者:
Chris Kenyon and Andrew Green
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最新提交年份:
2014
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英文摘要:
Funding is a cost to trading desks that they see as an input. Current FVA-related literature reflects this by also taking funding costs as an input, usually constant, and always risk-neutral. However, this funding curve is the output from a Treasury point of view. Treasury must consider Regulatory-required liquidity buffers, and both risk-neutral (Q) and physical measures (P). We describe the Treasury funding problem and optimize against both measures, using the Regulatory requirement as a constraint. We develop theoretically optimal strategies for Q and P, then demonstrate a combined approach in four markets (USD, JPY, EUR, GBP). Since we deal with physical measures we develop appropriate statistical tests, and demonstrate highly significant (p<0.00001), out-of-sample, improvements on hedged funding with a combined approach achieving 44% to 71% of a perfect information criterion. Thus regulatory liquidity requirements change both the funding problem and funding costs.
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中文摘要:
资金是交易台的成本,他们将其视为投入。目前与FVA相关的文献也反映了这一点,它们也将融资成本作为一种投入,通常是恒定的,并且总是风险中性的。然而,从财政部的角度来看,这条融资曲线是产出。财政部必须考虑监管机构要求的流动性缓冲,以及风险中性(Q)和实际措施(P)。我们以监管要求为约束条件,描述了财政部融资问题,并针对这两种措施进行了优化。我们为Q和P制定了理论上最优的策略,然后在四个市场(美元、日元、欧元、英镑)中展示了一种组合方法。由于我们处理物理测量,我们开发了适当的统计测试,并通过组合方法,证明对冲基金在样本外有非常显著的改善(p<0.00001),达到了完美信息标准的44%到71%。因此,监管流动性要求改变了融资问题和融资成本。
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分类信息:

一级分类:Quantitative Finance 数量金融学
二级分类:Pricing of Securities 证券定价
分类描述:Valuation and hedging of financial securities, their derivatives, and structured products
金融证券及其衍生产品和结构化产品的估值和套期保值
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