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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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22446587 · Jun 202019922001200920172026
48 results for Black Scholes

The paper challenges the notion that asset return doesn't affect Black-Scholes-Merton model.

problem The role of asset return in the Black-Scholes-Merton model.
method Refutation of the claim through simplified stochastic calculus approach.
result The expected rate of return of the underlying asset does affect the Black-Scholes-Merton model.

We analyze a generalized version of the Black-Scholes equation depending on a parameter a ⁣ ⁣(,0)a\!\in \!(-\infty,0). It satisfies the martingale condition and coincides with the Black-Scholes equation in the limit case a0a\nearrow 0. We show that the generalized equation is exactly solvable in terms of Hermite polynomials a…

2014-11-10abs ↗pdf ↗

Options financial instruments designed to protect investors from the stock market randomness. In 1973, Fisher Black, Myron Scholes and Robert Merton proposed a very popular option pricing method using stochastic differential equations within the Ito interpretation. Herein, we derive the Black-Scholes equation for the o…

2000-01-19abs ↗pdf ↗

Generalizes Black-Scholes model for option pricing under uncertainty.

problem Traditional Black-Scholes model for option pricing under uncertainty.
method Generalized Black-Scholes model using non-symmetric Dirichlet forms and abstract PDE theory.
result Well-posedness of the generalized model established.

Modified perturbation method removes non-smoothness in solving Black-Scholes equations.

problem Non-smoothness in solving Black-Scholes equations.
method Variable transformations and homotopy perturbation method.
result Excellent agreement with exact solutions for Black-Scholes and multi-asset options.

Paper revisits Black-Scholes model, proving solution existence and measuring market uncertainty.

problem Proving existence of solution in inverse Black-Scholes model.
method Rigorous proof and empirical study using finite element method.
result New measure of market uncertainty developed.

We apply Gauge Theory of Arbitrage (GTA) {hep-th/9710148} to derivative pricing. We show how the standard results of Black-Scholes analysis appear from GTA and derive correction to the Black-Scholes equation due to a virtual arbitrage and speculators reaction on it. The model accounts for both violation of the no-arbit…

1997-12-03abs ↗pdf ↗

We show that the non Hermitian Black-Scholes Hamiltonian and its various generalizations are eta-pseudo Hermitian. The metric operator eta is explicitly constructed for this class of Hamitonians. It is also shown that the effective Black-Scholes Hamiltonian and its partner form a pseudo supersymmetric system.

2011-12-14abs ↗pdf ↗

Motivated by the work of Segal and Segal on the Black-Scholes pricing formula in the quantum context, we study a quantum extension of the Black-Scholes equation within the context of Hudson-Parthasarathy quantum stochastic calculus. Our model includes stock markets described by quantum Brownian motion and Poisson proce…

2007-06-09abs ↗pdf ↗

Efficient numerical method for time-fractional Black-Scholes model.

problem Solving time-fractional Black-Scholes equations for European options.
method Crank-Nicolson discretization for time, exponential B-spline for space.
result The proposed method is unconditionally stable and superior to existing approaches.

Black-Scholes equation, after a certain coordinate transformation, is equivalent to the heat equation. On the other hand the relativistic extension of the latter, the telegraphers equation, can be derived from the Euclidean version of the Dirac equation. Therefore the relativistic extension of the Black-Scholes model f…

2013-07-19abs ↗pdf ↗

This paper analyzes the probability flow in the stock market using the Black-Scholes model.

problem The non-conservation of probability in the stock market.
method Expressed the Black-Scholes equation in Hamiltonian form and analyzed the flow of probability.
result Conditions under which probability might be conserved in the market, challenging the non-Hermitian nature of the Black-Scholes Hamiltonian.

Enhanced Black-Scholes model for option pricing with stochastic volatility and interest rate variability.

problem Improving option pricing accuracy in volatile financial markets.
method Extended Black-Scholes model using finite difference method and LSTM machine learning.
result Finite difference method outperforms LSTM in computational efficiency but not in accuracy.

Paper solves bond option pricing with credit risk using Black-Scholes equations.

problem Pricing options on bonds with credit risk.
method Solution representations of Black-Scholes equations for specific problems.
result Pricing formulae for puttable and callable bonds with credit risk.

Researchers find a timing error in Black-Scholes-Merton option pricing model.

problem Timing error in Black-Scholes-Merton option pricing model.
method Discovered a timing mistake in Merton's 1971 model and showed misspecification in continuous and discrete time.
result Invalidates seminal contributions to the literature including Black-Scholes (1973) and Merton (1971).

In this note, Black--Scholes implied volatility is expressed in terms of various optimisation problems. From these representations, upper and lower bounds are derived which hold uniformly across moneyness and call price. Various symmetries of the Black--Scholes formula are exploited to derive new bounds from old. These…

2015-12-21abs ↗pdf ↗

An investor faced with a contingent claim may eliminate risk by perfect hedging, but as it is often quite expensive, he seeks partial hedging (quantile hedging or efficient hedging) that requires less capital and reduces the risk. Efficient hedging for European call option was considered in the standard Black-Scholes m…

2013-08-29abs ↗pdf ↗

This paper compares analytical and numerical solutions of the Black-Scholes model.

problem Comparing analytical and numerical methods for solving the Black-Scholes model.
method Analytical solution (variable separation) and numerical solution (finite differences) of the Black-Scholes equation.
result Numerical solutions provide more accurate results for complex scenarios.

Improved bounds for Black-Scholes volatility lead to faster root-finding.

problem Finding accurate implied volatility for Black-Scholes model.
method Systematic use of option delta to derive tighter bounds, proposing a Newton-Raphson algorithm.
result Proposed algorithm converges rapidly for all price ranges, especially useful for extreme option prices.

We study the risk premium impact in the Perturbative Black Scholes model. The Perturbative Black Scholes model, developed by Scotti, is a subjective volatility model based on the classical Black Scholes one, where the volatility used by the trader is an estimation of the market one and contains measurement errors. In t…

2008-06-02abs ↗pdf ↗

This paper analyzes hedge errors in Black-Scholes models using finite difference techniques.

problem Accurate hedging strategies in dynamic market environments.
method Asymptotic approach and finite difference techniques.
result Reduction of hedge errors and enhancement of option pricing model robustness.

Enhancing the Black-Scholes model with Lévy processes and Malliavin calculus

problem Improving option valuation by incorporating stochastic volatility and jumps
method Deriving a pricing formula and exact implied volatility using multidimensional Itô calculus and Malliavin calculus
result Better capture of empirical features like volatility smiles

In this paper we consider a new mathematical extension of the Black-Scholes model in which the stochastic time and stock share price evolution is described by two independent random processes. The parent process is Brownian, and the directing process is inverse to the totally skewed, strictly α-stable process. The subo…

2011-11-14abs ↗pdf ↗

Deep learning outperforms Black-Scholes in Brazilian Petrobras option pricing.

problem Improving option pricing accuracy for Petrobras stocks.
method Trained deep residual networks using a custom loss function with historical data.
result Deep learning achieved a 64.3% reduction in mean absolute error compared to Black-Scholes.

A machine learning approach to compute Black-Scholes prices with uncertain volatility.

problem Approximating financial markets with continuous-time models like Black-Scholes when data is discrete.
method Generalized Polynomial Chaos (gPC) method combined with a machine learning technique called Bi-Fidelity.
result Efficient numerical method to quantify uncertainty in derivative pricing.

Unified model integrates Bachelier and Black-Scholes-Merton for asset pricing.

problem Study of asset pricing in a natural world with negative prices or riskless rates.
method Unified framework combining Bachelier and Black-Scholes-Merton models.
result Unified model shows different option pricing depending on riskless instruments used.

In common finance literature, Black-Scholes partial differential equation of option pricing is usually derived with no-arbitrage principle. Considering an asset market, Merton applied the Hamilton-Jacobi-Bellman techniques of his continuous-time consumption-portfolio problem, deriving general equilibrium relationships …

1998-05-10abs ↗pdf ↗

Proposes a new model to price options considering market forces beyond Black-Scholes.

problem Tackles the limitations of the Black-Scholes model in capturing unexpected market behaviors.
method Uses the analogy between quantum harmonic oscillator and financial market dynamics to propose a new market force-driven model.
result Shows how various market forces can be incorporated to modify option pricing, providing practical applications.