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Related papers: Long-Term Factorization of Affine Pricing Kernels

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In the practical business of asset management by investment trusts and the like, the general practice is to manage over the medium to long term owing to the burden of operations and increase in transaction costs with the increase in…

Computational Finance · Quantitative Finance 2023-01-31 Kazuki Amagai , Tomoya Suzuki

In this paper, the TF system of two-coupled Black-Scholes equations for pricing the convertible bonds is solved numerically by using the P1 and P2 finite elements with the inequality constraints approximated by the penalty method. The…

Computational Finance · Quantitative Finance 2023-01-26 Rakhymzhan Kazbek , Yogi Erlangga , Yerlan Amanbek , Dongming Wei

One of the peculiarities of power and gas markets is the delivery mechanism of forward contracts. The seller of a futures contract commits to deliver, say, power, over a certain period, while the classical forward is a financial agreement…

Mathematical Finance · Quantitative Finance 2018-06-08 Fred Espen Benth , Marco Piccirilli , Tiziano Vargiolu

For a multivariate stationary process, we develop explicit representations for the finite predictor coefficient matrices, the finite prediction error covariance matrices and the partial autocorrelation function (PACF) in terms of the…

Probability · Mathematics 2016-09-05 Akihiko Inoue , Yukio Kasahara , Mohsen Pourahmadi

The class of Affine (Jump) Diffusion (AD) has, due to its closed form characteristic function (ChF), gained tremendous popularity among practitioners and researchers. However, there is clear evidence that a linearity constraint is…

Computational Finance · Quantitative Finance 2022-08-29 Lech A. Grzelak

The purpose of this paper is two-fold. First is to extend the notions of an n-dimensional semimartingale and its stochastic integral to a piecewise semimartingale of stochastic dimension. The properties of the former carry over largely…

Pricing of Securities · Quantitative Finance 2011-12-23 Winslow Strong

Amortized inference promises fast test-time Bayesian inference, but existing methods are inherently tied to fixed models. Extending amortization to unseen models typically requires retraining or costly test-time finetuning. In this paper,…

Machine Learning · Computer Science 2026-05-27 Joohwan Ko , Justin Domke

In the "positive interest" models of Flesaker-Hughston, the nominal discount bond system is determined by a one-parameter family of positive martingales. In the present paper we extend this analysis to include a variety of distributions for…

Pricing of Securities · Quantitative Finance 2015-03-17 Dorje C. Brody , Lane P. Hughston , Ewan Mackie

Long maturity options or a wide class of hybrid products are evaluated using a local volatility type modelling for the asset price S(t) with a stochastic interest rate r(t). The calibration of the local volatility function is usually…

Mathematical Finance · Quantitative Finance 2018-03-13 Julien Hok , Shih-Hau Tan

We propose a multi-factor 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…

Mathematical Finance · Quantitative Finance 2020-06-11 Xi Kleisinger-Yu , Vlatka Komaric , Martin Larsson , Markus Regez

We consider plain vanilla European options written on an underlying asset that follows a continuous time semi-Markov multiplicative process. We derive a formula and a renewal type equation for the martingale option price. In the case in…

Probability · Mathematics 2021-08-06 Enrico Scalas , Bruno Toaldo

We propose a novel approximate factor model tailored for analyzing time-dependent curve data. Our model decomposes such data into two distinct components: a low-dimensional predictable factor component and an unpredictable error term. These…

Econometrics · Economics 2025-02-26 Sven Otto , Nazarii Salish

On a periodic basis, publicly traded companies are required to report fundamentals: financial data such as revenue, operating income, debt, among others. These data points provide some insight into the financial health of a company.…

Machine Learning · Statistics 2018-04-27 John Alberg , Zachary C. Lipton

Value approximation using deep neural networks is at the heart of off-policy deep reinforcement learning, and is often the primary module that provides learning signals to the rest of the algorithm. While multi-layer perceptron networks are…

Machine Learning · Computer Science 2022-06-10 Ge Yang , Anurag Ajay , Pulkit Agrawal

This study enhances option pricing by presenting unique pricing model fractional order Black-Scholes-Merton (FOBSM) which is based on the Black-Scholes-Merton (BSM) model. The main goal is to improve the precision and authenticity of option…

Computational Finance · Quantitative Finance 2024-01-02 Sarit Maitra , Vivek Mishra , Goutam Kr. Kundu , Kapil Arora

We derive the price of a spread option based on two assets which follow a bivariate volatility modulated Volterra process dynamics. Such a price dynamics is particularly relevant in energy markets, modelling for example the spot price of…

Pricing of Securities · Quantitative Finance 2014-09-23 Fred Espen Benth , Hanna Zdanowicz

Factorization machine (FM) variants are widely used for large scale real-time content recommendation systems, since they offer an excellent balance between model accuracy and low computational costs for training and inference. These systems…

Machine Learning · Computer Science 2025-01-03 Alex Shtoff , Elie Abboud , Rotem Stram , Oren Somekh

We show that any affine invariant function on the set of positive definite matrices must factor through the determinant function, as long as the restriction of the function to scalar matrices is surjective. A motivation from robust…

Group Theory · Mathematics 2020-04-07 Jingbo Liu

This paper deals with the kernel-based approximation of a multivariate periodic function by interpolation at the points of an integration lattice -- a setting that, as pointed out by Zeng, Leung, Hickernell (MCQMC2004, 2006) and Zeng,…

Numerical Analysis · Mathematics 2022-01-25 Vesa Kaarnioja , Yoshihito Kazashi , Frances Y. Kuo , Fabio Nobile , Ian H. Sloan

In this paper, we study various factorization invariants of arithmetical congruence monoids. The invariants we investigate are the catenary degree, a measure of the maximum distance between any two factorizations of the same element, the…

Commutative Algebra · Mathematics 2023-01-13 Scott T. Chapman , Caroline Liu , Annabel Ma , Andrew Zhang