Results 281 to 290 of about 37,249 (382)

S&P 500 microstructure noise components: empirical inferences from futures and ETF prices

open access: yesJournal of Time Series Analysis, EarlyView.
By studying the differences between futures prices and exchange‐traded fund prices for the S&P 500 index, original results are obtained about the distribution and persistence of the microstructure noise component created by positive bid‐ask spreads and discrete price scales.
Stephen J. Taylor
wiley   +1 more source

A Stochastic Tree for Bubble Asset Modelling and Pricing

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We introduce a new stochastic tree representation of a strictly stationary submartingale process for modelling, forecasting, and pricing speculative bubbles on commodity and cryptocurrency markets. The model is compared to other trees proposed in the literature on bubble asset modelling and stochastic volatility approximation. We show that the
Christian Gourieroux, Joann Jasiak
wiley   +1 more source

Quantitative Fundamental Theorem of Asset Pricing

open access: yesMathematical Finance, EarlyView.
ABSTRACT In this paper, we provide a quantitative analysis of the concept of arbitrage, that allows us to deal with model uncertainty without imposing the no‐arbitrage condition. In markets that admit “small arbitrage,” we can still make sense of the problems of pricing and hedging.
Beatrice Acciaio   +2 more
wiley   +1 more source

Rough PDEs for Local Stochastic Volatility Models

open access: yesMathematical Finance, EarlyView.
ABSTRACT In this work, we introduce a novel pricing methodology in general, possibly non‐Markovian local stochastic volatility (LSV) models. We observe that by conditioning the LSV dynamics on the Brownian motion that drives the volatility, one obtains a time‐inhomogeneous Markov process. Using tools from rough path theory, we describe how to precisely
Peter Bank   +3 more
wiley   +1 more source

Testing for Threshold Effects in the Presence of Heteroskedasticity and Measurement Error With an Application to Italian Strikes

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
Abstract We address the issue of testing for threshold nonlinearity in the conditional mean in the presence of conditional heteroskedasticity. We propose a supremum Lagrange multiplier approach to test a linear ARMA‐GARCH model versus a TARMA‐GARCH model.
Francesco Angelini   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy