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Results for “pricing” · papers 18 · wiki 16
Academic Papers · 18arXiv q-fin live 8 · desk corpus 281
arXiv · arXiv q-fin · 2024

A Derivative Pricing Perspective on Liquidity Tokens in Constant Product Market Makers

In decentralized finance, any individual can pool their assets into an automated market maker (AMM) -- herein we focus on the constant product market maker (CPMM) -- in exchange for a claim on a fraction of future pool assets and fees earned from the market making operations. This position is represented by a liquidity token, whose prevailing on-chain price is effectively the initial deposited assets. Though this pri

Maxim Bichuch, Zachary Feinstein
arXiv · arXiv q-fin · 2008

Constant Maturity Credit Default Swap Pricing with Market Models

In this work we derive an approximated no-arbitrage market valuation formula for Constant Maturity Credit Default Swaps (CMCDS). We move from the CDS options market model in Brigo (2004), and derive a formula for CMCDS that is the analogous of the formula for constant maturity swaps in the default free swap market under the LIBOR market model. A "convexity adjustment"-like correction is present in the related formula

Damiano Brigo
arXiv · arXiv q-fin · 2020

Nonparametric Pricing and Hedging of Volatility Swaps in Stochastic Volatility Models

In this paper the zero vanna implied volatility approximation for the price of freshly minted volatility swaps is generalised to seasoned volatility swaps. We also derive how volatility swaps can be hedged using a strip of vanilla options with weights that are directly related to trading intuition. Additionally, we derive first and second order hedges for volatility swaps using only variance swaps. As dynamically tra

Frido Rolloos
arXiv · arXiv · 2026

Pricing and hedging for liquidity provision in Constant Function Market Making

This paper develops a robust mathematical framework for Constant Function Market Makers (CFMMs) by transitioning from traditional token reserve analyses to a coordinate system defined by price and intrinsic liquidity. We establish a canonical parametrization of the bonding curve that ensures dimensional consistency across diverse trading functions, such as those employed by Uniswap and Balancer, and demonstrate that

Jimmy Risk, Shen-Ning Tung, Tai-Ho Wang
arXiv · arXiv · 2025

Deep Learning for Conditional Asset Pricing Models

We propose a new pseudo-Siamese Network for Asset Pricing (SNAP) model, based on deep learning approaches, for conditional asset pricing. Our model allows for the deep alpha, deep beta and deep factor risk premia conditional on high dimensional observable information of financial characteristics and macroeconomic states, while storing the long-term dependency of the informative features through long short-term memory

Hongyi Liu
arXiv · arXiv · 2025

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models

This study investigates the pre-trained RNN attention models with the mainstream attention mechanisms, such as additive attention, Luong's three attentions, global self-attention and sliding window sparse attention, for the empirical asset pricing research on the top 420 large-cap US stocks. This is the first paper on the large-scale state-of-the-art (SOTA) attention mechanisms applied in the asset pricing context. T

Shanyan Lai
arXiv · arXiv · 2025

Multilayer Perceptron Neural Network Models in Asset Pricing: An Empirical Study on Large-Cap US Stocks

In this study, MLP models with dynamic structure are applied to factor models for asset pricing tasks. Concretely, the MLP pyramid model structure was employed on firm characteristic-sorted portfolio factors for modelling the large-cap US stocks. It was further developed as a practical factor investing strategy based on the predictions. The main findings were evaluated from 2 angles: model predictive power and backte

Shanyan Lai
arXiv · arXiv · 2025

Asset Pricing in Pre-trained Transformer

This paper proposes an innovative Transformer model, Single-directional representative from Transformer (SERT), for US large capital stock pricing. It also innovatively applies the pre-trained Transformer models under the stock pricing and factor investment context. They are compared with standard Transformer models and encoder-only Transformer models in three periods covering the entire COVID-19 pandemic to examine

Shanyan Lai
arXiv · arXiv · 2025

Dynamic Asset Pricing Theory for Life Contingent Risks

Although the valuation of life contingent assets has been thoroughly investigated under the framework of mathematical statistics, little financial economics research pays attention to the pricing of these assets in a non-arbitrage, complete market. In this paper, we first revisit the Fundamental Theorem of Asset Pricing (FTAP) and the short proof of it. Then we point out that discounted asset price is a martingale on

Patrick Ling
arXiv · arXiv · 2024

Capital Asset Pricing Model with Size Factor and Normalizing by Volatility Index

The Capital Asset Pricing Model (CAPM) relates a well-diversified stock portfolio to a benchmark portfolio. We insert size effect in the CAPM, capturing the observation that small stocks have higher risk and return than large stocks, on average. Our goal is to make the resulting linear regressions have independent identically distributed Gaussian residuals. In some cases, we find that including the Volatility Index a

Abraham Atsiwo, Andrey Sarantsev
arXiv · arXiv · 2024

On Quantum Ambiguity and Potential Exponential Computational Speed-Ups to Solving Dynamic Asset Pricing Models

We formulate quantum computing solutions to a large class of dynamic nonlinear asset pricing models using algorithms, in theory exponentially more efficient than classical ones, which leverage the quantum properties of superposition and entanglement. The equilibrium asset pricing solution is a quantum state. We introduce quantum decision-theoretic foundations of ambiguity and model/parameter uncertainty to deal with

Eric Ghysels, Jack Morgan
arXiv · arXiv · 2023

A new adaptive pricing framework for perpetual protocols using liquidity curves and on-chain oracles

This whitepaper introduces an innovative mechanism for pricing perpetual contracts and quoting fees to traders based on current market conditions. The approach employs liquidity curves and on-chain oracles to establish a new adaptive pricing framework that considers various factors, ensuring pricing stability and predictability. The framework utilizes parabolic and sigmoid functions to quote prices and fees, accounti

Chester Bella, Danny Boahen, Sudeep Biswas
arXiv · arXiv · 2023

The fundamental theorem of asset pricing with and without transaction costs

We prove a version of the fundamental theorem of asset pricing (FTAP) in continuous time that is based on the strict no-arbitrage condition and that is applicable to both frictionless markets and markets with proportional transaction costs. We consider a market with a single risky asset whose ask price process is higher than or equal to its bid price process. Neither the concatenation property of the set of wealth pr

Christoph Kühn
arXiv · arXiv · 2023

An Empirical Study of Capital Asset Pricing Model based on Chinese A-share Trading Data

This paper presents an empirical analysis of the capital asset pricing model using trading data for the Chinese A-share market from 2000 to 2019. Firstly, the standard CAPM is tested using a Fama-MacBetch regression and although the results successfully test the three core hypotheses, the resulting beta risk does not have a significant impact on returns. Secondly, the Fama-French three-factor model, which uses a comb

Kai Ren
arXiv · arXiv · 2020

Regret Theory And Asset Pricing Anomalies In Incomplete Markets With Dynamic Un-Aggregated Preferences

Although the CML (Capital Market Line), the Intertemporal-CAPM, the CAPM/SML (Security Market Line) and the Intertemporal Arbitrage Pricing Theory (IAPT) are widely used in portfolio management, valuation and capital markets financing; these theories are inaccurate and can adversely affect risk management and portfolio management processes. This article introduces several empirically testable financial theories that

Michael Nwogugu
arXiv · arXiv · 2017

A fundamental theorem of asset pricing for continuous time large financial markets in a two filtration setting

We present a version of the fundamental theorem of asset pricing (FTAP) for continuous time large financial markets with two filtrations in an $L^p$-setting for $ 1 \leq p < \infty$. This extends the results of Yuri Kabanov and Christophe Stricker \cite{KS:06} to continuous time and to a large financial market setting, however, still preserving the simplicity of the discrete time setting. On the other hand it general

Christa Cuchiero, Irene Klein, Josef Teichmann
arXiv · arXiv · 2014

A new perspective on the fundamental theorem of asset pricing for large financial markets

In the context of large financial markets we formulate the notion of \emph{no asymptotic free lunch with vanishing risk} (NAFLVR), under which we can prove a version of the fundamental theorem of asset pricing (FTAP) in markets with an (even uncountably) infinite number of assets, as it is for instance the case in bond markets. We work in the general setting of admissible portfolio wealth processes as laid down by Y.

Christa Cuchiero, Irene Klein, Josef Teichmann
arXiv · arXiv · 2013

Hedging and Leveraging: Principal Portfolios of the Capital Asset Pricing Model

The principal portfolios of the standard Capital Asset Pricing Model (CAPM) are analyzed and found to have remarkable hedging and leveraging properties. Principal portfolios implement a recasting of any correlated asset set of N risky securities into an equivalent but uncorrelated set when short sales are allowed. While a determination of principal portfolios in general requires a detailed knowledge of the covariance

M. Hossein Partovi
Wiki Entities · 16
Derivatives

Binomial Tree Pricing

Binomial Tree Pricing — Discrete recombining tree for American and path-sensitive options.

Derivatives

Black-Scholes Model

Black-Scholes is the European option formula under lognormal spot, constant vol, and continuous hedging — a quoting convention more than a belief about the world.

Derivatives

Local Volatility Model

Local Volatility Model — Strike-dependent diffusion used to fit vanilla surfaces consistently.

Derivatives

Monte Carlo Option Pricing

Monte Carlo Option Pricing — Simulation pricing for path-dependent and multi-asset claims.

Derivatives

Skew

Skew measures the relative richness of downside versus upside implied volatility, helping track hedging demand and asymmetry in market risk pricing.

Derivatives

VIX Term Structure

VIX term structure tracks the shape of volatility futures across maturities and helps identify whether the market is pricing stable conditions or near-term stress.

Desk Slang

Behind the Curve

Behind the curve means policy (or a book) is too easy or too slow relative to incoming inflation, growth, or a Taylor-type benchmark — the market is already pricing a catch-up.

Economy

Capacity Utilization

Capacity Utilization — How tight industrial capacity is, informing pricing power and capex cycles.

Economy

US 10-Year Breakeven Inflation

US 10-Year Breakeven Inflation reflects the inflation rate implied by the gap between nominal Treasuries and TIPS, serving as a market-based gauge of long-term inflation expectations.

Fixed Income

Treasury Auction Tail

Treasury auction tail measures how much the auction clears above or below the expected market yield, providing a sensitive signal of auction quality and investor demand.

Macro Policy

Cross-Currency Basis

Funding stress signal derived from FX swap pricing distortions and balance sheet constraints.

Mathematics

Martingale

A martingale is a process whose conditional expectation of the future, given the present, is the present — ‘fair game’ under that information and that measure.

Mathematics

No-Arbitrage

No-arbitrage is the requirement that you cannot start at zero wealth and reach a nonnegative future payoff that is positive with positive probability — the axiom that gives you a positive state-price density.

Mathematics

Risk-Neutral Measure

A risk-neutral (equivalent martingale) measure is a probability reweighting that makes discounted asset prices martingales — prices are then discounted expected payoffs under that measure, not under the real-world P.

Quant

Capital Asset Pricing Model

CAPM says expected excess return is beta times the market risk premium — one factor, one line, many violations.

Rates

US 10-Year Real Yield

US 10-Year Real Yield measures the inflation-adjusted yield on 10-year Treasuries and is a key benchmark for discount rates, financial conditions, and macro asset pricing.

Option Blackboard · 0
No Option Blackboard entries matched.
Encyclopedia · 9
Desk Slang · Foundations

Behind the Curve

Behind the curve means policy (or a book) is too easy or too slow relative to incoming inflation, growth, or a Taylor-type benchmark — the market is already pricing a catch-up.

Derivatives · Foundations

Binomial Tree Pricing

Binomial Tree Pricing — Discrete recombining tree for American and path-sensitive options.

Economy · Foundations

Capacity Utilization

Capacity Utilization — How tight industrial capacity is, informing pricing power and capex cycles.

Quant · Foundations

Capital Asset Pricing Model

CAPM says expected excess return is beta times the market risk premium — one factor, one line, many violations.

Macro Policy · Foundations

Cross-Currency Basis

Funding stress signal derived from FX swap pricing distortions and balance sheet constraints.

Derivatives · Foundations

Monte Carlo Option Pricing

Monte Carlo Option Pricing — Simulation pricing for path-dependent and multi-asset claims.

Derivatives · Foundations

Skew

Skew measures the relative richness of downside versus upside implied volatility, helping track hedging demand and asymmetry in market risk pricing.

Rates · Foundations

US 10-Year Real Yield

US 10-Year Real Yield measures the inflation-adjusted yield on 10-year Treasuries and is a key benchmark for discount rates, financial conditions, and macro asset pricing.

Derivatives · Foundations

VIX Term Structure

VIX term structure tracks the shape of volatility futures across maturities and helps identify whether the market is pricing stable conditions or near-term stress.

Cards · 3
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