• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2021-01-12
Zhou Zhou

SIAM Journal on Financial Mathematics, Volume 12, Issue 1, Page 47-78, January 2021. An investor initially shorts a divisible American option $f$ and dynamically trades stock $S$ to maximize her expected utility. The investor faces the uncertainty of the exercise time of $f$, yet by observing the exercise time she would adjust her dynamic trading strategy accordingly. We thus investigate the robust

更新日期：2021-01-13
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2021-01-07
Asaf Cohen; Virginia R. Young

SIAM Journal on Financial Mathematics, Volume 12, Issue 1, Page 29-46, January 2021. We revisit the classical problem of optimal payment of dividends and determine the degree to which the diffusion approximation serves as a valid approximation of the classical risk model for this problem. Our results parallel some of those in Bäuerle [Math. Finance, 14 (2004), pp. 99--113], but we obtain sharper results

更新日期：2021-01-08
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2021-01-05
Martin Redmann; Christian Bayer; Pawan Goyal

SIAM Journal on Financial Mathematics, Volume 12, Issue 1, Page 1-28, January 2021. We consider high-dimensional asset price models that are reduced in their dimension in order to reduce the complexity of the problem or the effect of the curse of dimensionality in the context of option pricing. We apply model order reduction (MOR) to obtain a reduced system. MOR has been previously studied for asymptotically

更新日期：2021-01-05
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-12-10
Jean-François Bégin; Diego Amaya; Geneviève Gauthier; Marie-Ève Malette

SIAM Journal on Financial Mathematics, Volume 11, Issue 4, Page 1168-1208, January 2020. In this paper, we adopt a flexible filtering procedure to extract information from high-frequency data. Specifically, we provide a parsimonious framework to integrate realized measures from high-frequency index and derivative prices. In a simulation study, we document the incremental information offered by realized

更新日期：2020-12-11
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-11-12
Antoine Jacquier; Lorenzo Torricelli

SIAM Journal on Financial Mathematics, Volume 11, Issue 4, Page 1137-1167, January 2020. Anomalous diffusions arise as scaling limits of continuous-time random walks whose innovation times are distributed according to a power law. The impact of a nonexponential waiting time does not vanish with time and leads to different distribution spread rates compared to standard models. In financial modeling

更新日期：2020-12-01
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-11-09
Florian Bourgey; Emmanuel Gobet; Clément Rey

SIAM Journal on Financial Mathematics, Volume 11, Issue 4, Page 1098-1136, January 2020. We design a metamodel for the loss distribution ${\mathcal L}$ of a large credit risk portfolio in the Gaussian copula model. Our procedure is twofold. We first apply the Wiener chaos decomposition on the normal systemic economic factor and derive a truncated loss ${\mathcal{L}_{I}}$ at some order $I$. Then, we

更新日期：2020-11-12
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-11-02
Maryam Vahid Dastgerdi; Ali Foroush Bastani

SIAM Journal on Financial Mathematics, Volume 11, Issue 4, Page 1063-1097, January 2020. The rough Heston model has recently attracted the attention of many finance practitioners and researchers as it maintains the basic structure of the classical Heston model while having descriptive capabilities in terms of microstructural foundations of the market. Using the fact that the characteristic function

更新日期：2020-11-12
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-10-28
Vicky Henderson; Kamil Kladívko; Michael Monoyios; Christoph Reisinger

SIAM Journal on Financial Mathematics, Volume 11, Issue 4, Page 1007-1062, January 2020. We analyze the optimal exercise of an American call executive stock option (ESO) written on a stock whose drift parameter falls to a lower value at a change point, an exponentially distributed random time independent of the Brownian motion driving the stock. Two agents, who do not trade the stock, have differing

更新日期：2020-11-12
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-10-14
Henrik T. Dam; Andrea Macrina; David Skovmand; David Sloth

SIAM Journal on Financial Mathematics, Volume 11, Issue 4, Page 974-1006, January 2020. We construct models for the pricing and risk management of inflation-linked derivatives. The models are rational in the sense that linear payoffs written on the consumer price index have prices that are rational functions of the state variables. The nominal pricing kernel is constructed in a multiplicative manner

更新日期：2020-11-12
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-09-24
Matthew Dixon; Nick Polson

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page SC-26-SC-37, January 2020. Deep fundamental factor models are developed to automatically capture nonlinearity and interaction effects in factor modeling. Uncertainty quantification provides interpretability with interval estimation, ranking of factor importance, and estimation of interaction effects. With no hidden layers we recover a

更新日期：2020-10-14
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-09-24
Yuri F. Saporito

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page SC-14-SC-25, January 2020. In this paper we derive an efficient approximation for the price of path-dependent derivatives under the multiscale stochastic volatility models. Using the formulation of this pricing problem under the functional Itô calculus framework and making use of Malliavin calculus formulas for computing the Greeks, we

更新日期：2020-10-14
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-10-13

SIAM Journal on Financial Mathematics, Volume 11, Issue 4, Page 959-973, January 2020. Given a market with a price process $S$ populated by heterogeneous traders with differential information, beliefs, and trading constraints, let the smallest information set containing all of the traders' information be denoted $\mathbb{F}$. This market is defined to be informationally efficient [E. Fama, J. Finance

更新日期：2020-10-14
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-09-15
Xi Kleisinger-Yu; Vlatka Komaric; Martin Larsson; Markus Regez

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 928-957, January 2020. We propose a multifactor polynomial framework to model and hedge long-term electricity contracts with delivery period. This framework has several advantages: the computation of forwards, risk premium, and correlation between different forwards is fully explicit, and the model can be calibrated to observed electricity

更新日期：2020-09-20
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-09-15
Kathrin Glau; Daniel Kressner; Francesco Statti

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 897-927, January 2020. Treating high dimensionality is one of the main challenges in the development of computational methods for solving problems arising in finance, where tasks such as pricing, calibration, and risk assessment need to be performed accurately and in real-time. Among the growing literature addressing this problem, Gass

更新日期：2020-09-20
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-09-02
Johannes Ruf; Kangjianan Xie

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 881-896, January 2020. The effect of proportional transaction costs on systematically generated portfolios is studied empirically. The performance of several portfolios (the index tracking portfolio, the equally-weighted portfolio, the entropy-weighted portfolio, and the diversity-weighted portfolio) in the presence of dividends and transaction

更新日期：2020-09-20
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-09-02
Miryana Grigorova; Marie-Claire Quenez; Agnès Sulem

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 849-880, January 2020. We study the superhedging prices and the associated superhedging strategies for European options in a nonlinear incomplete market model with default. The underlying market model consists of one risk-free asset and one risky asset, whose price may admit a jump at the default time. The portfolio processes follow nonlinear

更新日期：2020-09-20
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-08-31
Alessandro Calvia; Emanuela Rosazza Gianin

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 815-848, January 2020. We consider dynamic risk measures induced by backward stochastic differential equations (BSDEs) in an enlargement of filtration setting. On a fixed probability space, we are given a standard Brownian motion and a pair of random variables $(\tau, \zeta) \in (0,+\infty) \times E$, with $E \subset \mathbb{R}^m$, that

更新日期：2020-09-20
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-07-28
Claudia Ceci; Katia Colaneri; Rüdiger Frey; Verena Köck

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 788-814, January 2020. Reinsurance counterparty credit risk (RCCR) is the risk of a loss arising from the fact that a reinsurance company is unable to fulfill her contractual obligations toward the ceding insurer. RCCR is an important risk category for insurance companies which, so far, has been addressed mostly via qualitative approaches

更新日期：2020-09-20
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-07-28
Karel Janeček; Zheng Li; Mihai Sîrbu

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 750-787, January 2020. We study an optimal investment and consumption problem on infinite horizon, under the assumption that one of the investment opportunities is a fund charging high-watermark fees. The fund and the additional risky assets follow a multidimensional geometric Lévy structure. The interest rate is constant and the utility

更新日期：2020-09-20
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-06-29

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 620-658, January 2020. The seller's risk-indifference price evaluation is studied. We propose a dynamic risk-indifference pricing criterion derived from fully-dynamic risk measures on the $L_p$-spaces for $p\in [1,\infty]$. The concept of fully-dynamic risk measures extends the one of dynamic risk measures by adding the actual possibility

更新日期：2020-07-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-06-11
Ka Ho Tsang; Hoi Ying Wong

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 593-619, January 2020. This paper investigates a deep-learning solution to high-dimensional multiperiod portfolio optimization problems with bounding constraints on the control. We propose a deep neural network (DNN) architecture to describe the underlying control process. The DNN consists of $K$ subnetworks, where $K$ is the total number

更新日期：2020-07-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-06-11
Christian Fries; Lorenzo Torricelli

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 566-592, January 2020. In this paper we propose a derivative valuation framework based on Lévy processes which takes into account the possibility that the underlying asset is subject to information-related trading halts/suspensions. Since such assets are not traded at all times, we argue that the natural underlying for derivative risk-neutral

更新日期：2020-07-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-06-02
Paolo Bartesaghi; Michele Benzi; Gian Paolo Clemente; Rosanna Grassi; Ernesto Estrada

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 526-565, January 2020. Node centrality is one of the most important and widely used concepts in the study of complex networks. Here, we extend the paradigm of node centrality in financial and economic networks to consider the changes of node “importance” produced not only by the variation of the topology of the system but also as a consequence

更新日期：2020-07-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-07-21
Monique Jeanblanc; Libo Li

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 720-749, January 2020. The first goal of this article is to identify, for different defaultable claims, the fundamental processes which uniquely determine the predefault price and therefore require to be modeled. The main message to the reader is that although the use of the default compensator or hazard process is ubiquitous, it may not

更新日期：2020-07-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-07-13
Álvaro Cartea; Sebastian Jaimungal; Tianyi Jia

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 690-719, January 2020. We develop the optimal trading strategy for a foreign exchange (FX) broker who must liquidate a large position in an illiquid currency pair. To maximize revenues, the broker considers trading in a currency triplet which consists of the illiquid pair and two other liquid currency pairs. The liquid pairs in the triplet

更新日期：2020-07-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-07-09
Jaime A. London͂o

SIAM Journal on Financial Mathematics, Volume 11, Issue 3, Page 659-689, January 2020. We define an intertemporal equilibrium where agents optimize a functional of utility on consumption and final wealth on nominal terms as proposed by [J. A. London͂o, J. Appl. Probab., 46 (2009), pp. 55--70]. The equilibrium obtained is a Duesenberry Equilibrium in the sense that at the optimal choices, heterogeneous

更新日期：2020-07-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-05-07

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 494-525, January 2020. We study an inverse investment problem proposed by Black and provide necessary and sufficient conditions for a given function to be an admissible indirect utility function in a log-normal market; we also show how to recover the associated utility function. Similar questions are also addressed starting directly from

更新日期：2020-05-07
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-04-27
Jasdeep Kalsi; Terry Lyons; Imanol Perez Arribas

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 470-493, January 2020. We present a method for obtaining approximate solutions to the problem of optimal execution, based on a signature method. The framework is general, only requiring that the price process is a geometric rough path and the price impact function is a continuous function of the trading speed. Following an approximation

更新日期：2020-04-27
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-04-27
Blanka Horvath; Antoine Jacquier; Peter Tankov

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 437-469, January 2020. We discuss the pricing and hedging of volatility options in some rough volatility models. First, we develop efficient Monte Carlo methods and asymptotic approximations for computing option prices and hedge ratios in models where log volatility follows a Gaussian Volterra process. While providing a good fit for European

更新日期：2020-04-27
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-04-23
Chonghu Guan; Xun Li; Wenxin Zhou

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 411-436, January 2020. In this paper, we study a class of optimal investment problems with a nonsmooth and nonconcave utility function, where the value function is the expected utility determined by the state process and time. We adopt partial differential equation methods to prove that the value function belongs to $C^{2,1}$ under some

更新日期：2020-04-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-04-13
Junbeom Lee; Stephan Sturm; Chao Zhou

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 385-410, January 2020. We introduce a two-agent problem which is inspired by price asymmetry arising from funding difference. When two parties have different funding rates, the two parties deduce different fair prices for derivative contracts even under the same pricing methodology and parameters. Thus, the two parties should enter the

更新日期：2020-04-13
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-04-13
Peter A. Forsyth

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 358-384, January 2020. We formulate the multiperiod, time consistent mean-CVAR (conditional value at risk) asset allocation problem in a form amenable to numerical computation. Our numerical algorithm can impose realistic constraints such as no shorting, no leverage, and discrete rebalancing. We focus on long term (i.e., 30 year) strategies

更新日期：2020-04-13
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-04-02
Luis Carlos Garcia del Molino; Iacopo Mastromatteo; Michael Benzaquen; Jean-Philippe Bouchaud

SIAM Journal on Financial Mathematics, Volume 11, Issue 2, Page 327-357, January 2020. We reconsider the multivariate Kyle model in a risk-neutral setting with a single, perfectly informed rational insider and a rational competitive market maker, setting the price of $n$ securities. We prove the unicity of a symmetric, positive definite solution for the impact matrix and provide insights on its interpretation

更新日期：2020-04-02
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-03-24
Josselin Garnier; Knut Sølna

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 274-325, January 2020. In a market with a rough or Markovian mean-reverting stochastic volatility there is no perfect hedge. Here it is shown how various delta-type hedging strategies perform and can be evaluated in such markets in the case of European options. A precise characterization of the hedging cost, the replication cost caused

更新日期：2020-03-24
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-03-23
Nicole Bäuerle; Sascha Desmettre

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 240-273, January 2020. We consider a fractional version of the Heston volatility model which is inspired by [H. Guennoun et al., SIAM J. Financial Math,, 9 (2018), pp. 1017--1045]. Within this model we treat portfolio optimization problems for power utility functions. Using a suitable representation of the fractional part, followed by

更新日期：2020-03-23
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-03-12
David Farahany; Kenneth R. Jackson; Sebastian Jaimungal

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 201-239, January 2020. We develop a mixed least squares Monte Carlo--partial differential equation (LSMC-PDE) method for pricing Bermudan style options on assets under stochastic volatility. The algorithm is formulated for an arbitrary number of assets and volatility processes, and we prove the algorithm converges almost surely for a class

更新日期：2020-03-12
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-03-12
Tiantian Mao; Ruodu Wang

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 169-200, January 2020. We incorporate a notion of risk aversion favoring prudent decisions from financial institutions into regulatory capital calculation principles. In the context of Basel III and IV as well as Solvency II, regulatory capital calculation is carried out through the tools of monetary risk measures. The notion of risk aversion

更新日期：2020-03-12
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-03-03
Dorje Brody; Lane Hughston; Bernhard Meister

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 148-168, January 2020. A term structure model in which the short rate is zero is developed as a candidate for a theory of cryptocurrency interest rates. The price processes of crypto discount bonds are worked out, along with expressions for the instantaneous forward rates and the prices of interest-rate derivatives. The model admits functional

更新日期：2020-03-03
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-02-20
Beatrice Acciaio; Julien Guyon

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page SC1-SC13, January 2020. It has often been stated that, within the class of continuous stochastic volatility models calibrated to vanillas, the price of a VIX future is maximized by the Dupire local volatility model. In this article we prove that this statement is incorrect: we build a continuous stochastic volatility model in which a VIX

更新日期：2020-02-20
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-02-18
Michał Barski; Jerzy Zabczyk

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 131-147, January 2020. The paper is concerned with stochastic equations for the short rate process $R$, $dR(t)=F(R(t))dt+G(R(t-))dZ(t)$, in the affine model of the bond prices. The equation is driven by a Lévy martingale $Z$. It is shown that the discounted bond prices are local martingales if either $Z$ is a stable process of index \$\alpha\in(1

更新日期：2020-02-18
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-02-18
Stéphane Crépey; Wissal Sabbagh; Shiqi Song

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 99-130, January 2020. X-value adjustments (XVAs) refer to various financial derivative pricing adjustments accounting for counterparty risk and its funding (FVA) and capital (KVA) implications for a bank. In this paper we show that the XVA equations are well-posed, including in the realistic case where capital is deemed fungible as a source

更新日期：2020-02-18
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-02-06
Hamed Amini; Damir Filipović; Andreea Minca

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 60-98, January 2020. We examine the effects on a financial network of clearing all contracts though a central node (CN), thereby transforming the original network into a star-shaped one. The CN is capitalized with external equity and a guaranty fund. We introduce a structural systemic risk measure that captures the shortfall of end users

更新日期：2020-02-06
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-02-06
Anna Aksamit; Zhaoxu Hou; Jan Obłój

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 27-59, January 2020. We investigate asymmetry of information in the context of the robust approach to pricing and hedging of financial derivatives. We consider two agents, one who only observes the stock prices and another with some additional information, and investigate when the pricing-hedging duality for the former extends to the latter

更新日期：2020-02-06
• SIAM J. Financ, Math. (IF 1.315) Pub Date : 2020-01-08
Sebastian Herrmann; Johannes Muhle-Karbe; Dapeng Shang; Chen Yang

SIAM Journal on Financial Mathematics, Volume 11, Issue 1, Page 1-26, January 2020. We study Nash equilibria for inventory-averse high-frequency traders (HFTs), who trade to exploit information about future price changes. For discrete trading rounds, the HFTs' optimal trading strategies and their equilibrium price impact are described by a system of nonlinear equations; explicit solutions are obtained

更新日期：2020-01-08
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