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Valuation of general contingent claims with short selling bans: an equal-risk pricing approach 卖空禁令下一般或有债权的估值:等风险定价方法
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-07-22 DOI: 10.1142/s0219024922500224
Guiyuan Ma, Song‐Ping Zhu, Ivan Guo
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引用次数: 1
Sensitivities and Hedging of the Collateral Choice Option 抵押品选择期权的敏感性和套期保值
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-07-21 DOI: 10.1142/s0219024922500273
G. Deelstra, L. Grzelak, Felix L. Wolf
The collateral choice option allows a collateral-posting party the opportunity to change the type of security in which the collateral is deposited. Due to non-zero collateral basis spreads, this optionality significantly impacts asset valuation. Because of the complexity of valuing the option, many practitioners resort to deterministic assumptions on the collateral rates. In this article, we focus on a valuation model of the collateral choice option based on stochastic dynamics. Intrinsic differences in the resulting collateral choice option valuation and its implications for collateral management are presented. We obtain sensitivities of the collateral choice option price under both the deterministic and the stochastic model, and we show that the stochastic model attributes risks to all involved collateral currencies. Besides an inability to capture volatility effects, the deterministic model exhibits a digital structure in which only the cheapest-to-deliver currency influences the valuation at a given time. We further consider hedging an asset with the collateral choice option by a portfolio of domestic and foreign zero-coupon bonds that do not carry the collateral choice option. We propose static hedging strategies based on the crossing times of the deterministic model and based on variance-minimization under the stochastic model. We show how the weights of this model can be explicitly determined with the semi-analytical common factor approach and we show in numerical experiments that this strategy offers good hedging performance under minimized variance.
抵押品选择选项允许抵押品提交方有机会更改存放抵押品的证券类型。由于非零担保基点价差,这种期权性显著影响资产估值。由于期权估值的复杂性,许多从业人员采用对抵押品利率的确定性假设。本文主要研究基于随机动力学的抵押品选择期权估值模型。提出了由此产生的抵押品选择、期权估值及其对抵押品管理的影响的内在差异。得到了确定性模型和随机模型下抵押品选择期权价格的敏感性,并证明了随机模型对所有涉及的抵押品货币都具有风险属性。除了无法捕捉波动效应外,确定性模型还展示了一种数字结构,在这种结构中,只有最便宜的货币才能在给定时间影响估值。我们进一步考虑通过不带有抵押品选择选项的国内外零息债券组合来对冲带有抵押品选择选项的资产。提出了基于确定性模型交叉次数和随机模型下方差最小化的静态套期保值策略。我们展示了该模型的权重如何可以用半解析共因子方法显式确定,并在数值实验中表明,该策略在最小方差下提供了良好的对冲性能。
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引用次数: 0
OPTIMAL INVESTMENT AND CONTINGENT CLAIM VALUATION WITH EXPONENTIAL DISUTILITY UNDER PROPORTIONAL TRANSACTION COSTS 交易成本比例下指数负效用的最优投资与或有债权估值
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-07-12 DOI: 10.1142/s0219024922500170
ALET ROUX, ZHIKANG XU

We consider indifference pricing of contingent claims consisting of payment flows in a discrete-time model with proportional transaction costs and under exponential disutility. This setting covers utility maximization of terminal wealth as a special case. A dual representation is obtained for the associated disutility minimization problem, together with a dynamic procedure for solving it. This leads to efficient and convergent numerical procedures for indifference pricing, optimal trading strategies and shadow prices that apply to a wide range of payoffs, a large range of time steps and all magnitudes of transaction costs.

在交易成本成比例的离散时间模型中,在指数负效用条件下,考虑由支付流组成的或有债权的无差异定价。这个设置将终端财富的效用最大化作为一个特例。得到了相关负效用最小化问题的对偶表示,并给出了求解该问题的动态过程。这导致无差异定价、最优交易策略和影子价格的有效和收敛的数值程序,适用于大范围的收益、大范围的时间步长和所有量级的交易成本。
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引用次数: 0
Multivariate dynamic cash sub-additive risk measures for processes 流程的多变量动态现金次加性风险度量
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-07-07 DOI: 10.1142/s0219024922500200
Fei Sun, Kui Luo, Yu Feng
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引用次数: 0
PRICING AND HEDGING PREPAYMENT RISK IN A MORTGAGE PORTFOLIO 抵押贷款组合中提前还款风险的定价与对冲
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-07-07 DOI: 10.1142/s0219024922500169
EMANUELE CASAMASSIMA, LECH A. GRZELAK, FRANK A. MULDER, CORNELIS W. OOSTERLEE

Understanding mortgage prepayment is crucial for any financial institution providing mortgages, and it is important for hedging the risk resulting from such unexpected cash flows. Here, in the setting of a Dutch mortgage provider, we propose to include nonlinear financial instruments in the hedge portfolio when dealing with mortgages with the option to prepay part of the notional early. Based on the assumption that there is a correlation between prepayment and the interest rates in the market, a model is proposed which is based on a specific refinancing incentive. The linear and nonlinear risks are addressed by a set of tradeable instruments in a static hedge strategy. We will show that a stochastic model for the notional of a mortgage unveils nonlinear risk embedded in a prepayment option. Based on a calibration of the refinancing incentive on a data set of more than thirty million observations, a functional form of the prepayments is defined, which accurately reflects the borrowers’ behavior. We compare this functional form with a fully rational model, where the option to prepay is assumed to be exercised rationally.

了解抵押贷款提前还款对任何提供抵押贷款的金融机构来说都是至关重要的,对于对冲此类意外现金流带来的风险也很重要。在这里,在荷兰抵押贷款提供商的设置中,我们建议在处理具有提前支付部分名义提前选择权的抵押贷款时,将非线性金融工具纳入对冲投资组合。在假定提前还款与市场利率存在相关性的基础上,提出了一个基于特定再融资激励的模型。在静态对冲策略中,线性和非线性风险由一组可交易工具来解决。我们将展示抵押贷款概念的随机模型揭示了嵌入在提前支付选项中的非线性风险。基于对超过3000万次观察数据集的再融资激励的校准,定义了提前支付的函数形式,它准确地反映了借款人的行为。我们将这种函数形式与完全理性模型进行比较,在完全理性模型中,提前支付期权被假设为理性行使。
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引用次数: 0
Portfolio Volatility Spillover 投资组合波动溢出
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-06-17 DOI: 10.1142/s0219024922500194
Gueorgui S. Konstantinov, F. Fabozzi
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引用次数: 0
Market Timing in Parametric Portfolio Policies 参数化投资组合政策中的市场时机
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-06-17 DOI: 10.1142/s0219024922500182
Carlos Osorio, Thorsten Poddig, C. Fieberg, M. Olschewsky, Michael Falge
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引用次数: 0
The fractional volatility model and rough volatility 分数波动模型和粗糙波动
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-06-05 DOI: 10.1142/s0219024923500103
Vilela Mendes
The question of the volatility roughness is interpreted in the framework of a data-reconstructed fractional volatility model, where volatility is driven by fractional noise. Some examples are worked out and also, using Malliavin calculus for fractional processes, an option pricing equation and its solution are obtained.
波动率粗糙度问题是在数据重建的分数波动率模型的框架下解释的,其中波动率是由分数噪声驱动的。给出了一些例子,并利用分数过程的Malliavin演算,得到了一个期权定价方程及其解。
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引用次数: 0
DIVIDENDS AND COMPOUND POISSON PROCESSES: A NEW STOCHASTIC STOCK PRICE MODEL 股利与复合泊松过程:一种新的随机股票价格模型
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-05-30 DOI: 10.1142/s0219024922500145
BATTULGA GANKHUU, JACOB KLEINOW, ALTANGEREL LKHAMSUREN, ANDREAS HORSCH
This study introduces a stochastic multi-period dividend discount model (DDM) that includes (i) a compound nonhomogenous Poisson process for dividend growth and (ii) the probability of firm default. We obtain maximum likelihood (ML) estimators and confidence interval formulas of our model parameters. We apply the model to a set of firms from the S&P 500 index using historical dividend and price data over a 42-year period. Interestingly, stock price estimations calculated with the model are close to the observable prices. Overall, we prove that the model can be a useful tool for stock pricing.
本文引入了一个随机多期股利贴现模型(DDM),该模型包括(i)股利增长的复合非齐次泊松过程和(ii)企业违约的概率。我们得到了模型参数的极大似然估计量和置信区间公式。我们将该模型应用于标准普尔500指数中的一组公司,使用42年期间的历史股息和价格数据。有趣的是,用该模型计算出的股票价格估计值接近于可观测价格。总体而言,我们证明了该模型可以作为股票定价的有用工具。
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引用次数: 0
APPLYING THE LOCAL MARTINGALE THEORY OF BUBBLES TO CRYPTOCURRENCIES 泡沫的局部鞅理论在加密货币中的应用
IF 0.5 Q4 BUSINESS, FINANCE Pub Date : 2022-04-08 DOI: 10.1142/s0219024922500133
SOON HYEOK CHOI, R. Jarrow
Cryptocurrencies provide a natural setting to test for the existence of price bubbles using the local martingale theory of bubbles because cryptocurrencies have no cash flows. Using a robust statistical algorithm, we test for price bubbles in eight cryptocurrencies, Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH), Ripple (XRP), Bitcoin Cash (BCH), EOS (EOS), Monero (XMR), and Zcash (ZEC), from 1 January 2019 to 17 July 2019. The statistical test first estimates the cryptocurrencies’ volatilities as a function of the price level. Then, these estimates are extrapolated over the positive real line using power functions. Finally, these power functions underly a sequence of hypothesis tests for price bubbles that control for both Type I and Type II errors. Five of the eight currencies (BTC, BCH, EOS, XMR, ZEC) exhibit price bubbles, LTC does not, and the evidence for ETH and XRP is inconclusive. The paper provides strong evidence for the prevalence of bubbles in cryptocurrencies.
使用泡沫的局部鞅理论,加密货币提供了一个自然的环境来测试价格泡沫的存在,因为加密货币没有现金流。使用稳健的统计算法,我们测试了八种加密货币的价格泡沫,比特币(BTC),莱特币(LTC),以太坊(ETH), Ripple (XRP),比特币现金(BCH), EOS (EOS),门罗币(XMR)和Zcash (ZEC),从2019年1月1日到2019年7月17日。统计测试首先估计加密货币的波动性作为价格水平的函数。然后,使用幂函数将这些估计值外推到正实线上。最后,这些幂函数是对价格泡沫的一系列假设检验的基础,这些假设检验控制了第一类和第二类误差。八种货币中有五种(BTC, BCH, EOS, XMR, ZEC)表现出价格泡沫,LTC没有,ETH和XRP的证据尚无定论。这篇论文为加密货币泡沫的普遍存在提供了强有力的证据。
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引用次数: 2
期刊
International Journal of Theoretical and Applied Finance
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