Results 11 to 20 of about 143,725 (277)
HortScience, 2023 Recently, some commercial apple growers have been adopting hedging as an alternative or supplement to hand-pruning. With increasing labor costs across the United States, alternatives to hand-pruning and current training systems are being considered.
Thiago Campbell +2 more
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Using Neural Networks to Price and Hedge Variable Annuity Guarantees
Risks, 2018 This paper explores the use of neural networks to reduce the computational cost of pricing and hedging variable annuity guarantees. Pricing these guarantees can take a considerable amount of time because of the large number of Monte Carlo simulations ...
Daniel Doyle, Chris Groendyke
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Hedging strategies and minimal variance portfolios for European and exotic options in a Levy market [PDF]
, 2008 This paper presents hedging strategies for European and exotic options in a Levy market. By applying Taylor's Theorem, dynamic hedging portfolios are con- structed under different market assumptions, such as the existence of power jump assets or moment ...
Olhede, Sofia +2 more
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Hedging Effectiveness under Conditions of Asymmetry [PDF]
, 2011 We examine whether hedging effectiveness is affected by asymmetry in the return distribution by applying tail specific metrics to compare the hedging effectiveness of short and long hedgers using crude oil futures contracts.
Fishburn P., Jim Hanly, John Cotter
core +3 more sources
Relaxing the Assumptions of Minimum-Variance Hedging
Journal of Agricultural and Resource Economics, 1996 The most important minimum-variance hedging ration assumptions are (a) that production is deterministic and (b) that all of the agent's wealth is invested in the cash position. Stochastic production greatly reduces optimal hedge ratios.
Sergio H. Lence
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Hedging performance of multiscale hedge ratios [PDF]
Journal of Futures Markets, 2019 AbstractIn this study, the wavelet multiscale model is applied to selected assets to hedge time‐dependent exposure of an agent with a preference for a certain hedging horizon. Based on the in‐sample and out‐of‐sample portfolio variances, the wavelet‐based generalized autoregressive conditional heteroskedasticity (GARCH) model produces the lowest ...
Jahangir Sultan +3 more
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Frontiers in Physics, 2023 This paper examines the impact of risk spillovers between Chinese stock and futures markets on stock hedging policies. This paper calculates the correlation between the overall risk spillover and the hedging ratio, effectiveness, and hedging cost based ...
Kai Shi, Junlian Gong
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A model for hedging load and price risk in the Texas electricity market [PDF]
, 2012 Energy companies with commitments to meet customers’ daily electricity demands face the problem of hedging load and price risk. We propose a joint model for load and price dynamics, which is motivated by the goal of facilitating optimal hedging decisions,
Aïd +26 more
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Quantitative Finance, 2018 We present a framework for hedging a portfolio of derivatives in the presence of market frictions such as transaction costs, market impact, liquidity constraints or risk limits using modern deep reinforcement machine learning methods. We discuss how standard reinforcement learning methods can be applied to non-linear reward structures, i.e. in our case
Buehler, H. +3 more
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CVaR Hedging under Stochastic Interest Rate
Frontiers in Applied Mathematics and Statistics, 2015 In this paper we assess the partial hedging problems by formulating hedging strategies that minimize conditional value-at-risk (CVaR) of the portfolio loss under stochastic interest rate environment.
Angela eTsao +2 more
doaj +1 more source