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Journal of Futures Markets: Volume 46, Number 11, November 2026 期货市场杂志:第46卷,第11期,2026年11月
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-10-07 DOI: 10.1002/fut.70147
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引用次数: 0
Volatility Formation in Dairy Futures: Fundamentals, Public Information, and Processing Ambiguity 乳品期货波动率的形成:基本面、公开信息和处理歧义
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-10-07 Epub Date: 2026-09-06 DOI: 10.1002/fut.70137
Xiaodong Du

Class III milk futures cash-settle to an administered price based on weekly component prices, creating a predictable within-month flow of settlement-relevant information. This paper studies drivers of cross-month variation in realized volatility in this formula-settled market. We separate volatility associated with upstream feed-cost and milk-supply conditions, downstream dairy-product markets, USDA public information releases, processing-related ambiguity, and market participation. Processing-related ambiguity is uncertainty about how public dairy-market signals translate into formula-settled payoffs when processing capacity, inventories, product allocation, and logistics are only partially characterized in public reports. We construct a narrative measure from USDA Livestock, Dairy, and Poultry Outlook reports and distinguish it from observable public information using release-date-aligned innovations from major USDA dairy reports. Triple-IV 3SLS estimates show that processing-related ambiguity remains an economically important predictor of realized volatility after conditioning on fundamentals and broader USDA information. Weekly release-timing specifications show stronger ambiguity effects when commercial short-side participation is elevated.

第三类牛奶期货现金结算到基于每周组成部分价格的管理价格,创造一个可预测的月内结算相关信息流。本文研究了公式结算市场中已实现波动率跨月变化的驱动因素。我们将与上游饲料成本和牛奶供应条件、下游乳制品市场、美国农业部公开信息发布、加工相关的模糊性和市场参与相关的波动性分开。加工相关的模糊性是指当加工能力、库存、产品分配和物流在公开报告中仅部分描述时,公众乳制品市场信号如何转化为公式确定的回报的不确定性。我们从美国农业部家畜、乳制品和家禽展望报告中构建了一个叙事度量,并使用美国农业部主要乳制品报告中与发布日期一致的创新将其与可观察的公共信息区分开来。3SLS估计表明,加工相关的模糊性仍然是一个重要的经济预测指标,在基本面的条件和更广泛的USDA信息之后,实现波动。当商业短方参与增加时,每周发布时间规范显示出更强的模糊性效应。
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引用次数: 0
Forecasting Crude Oil Futures Prices: A Stacking Model With Mixed-Frequency Predictors, Machine Learning, and Forecast Combination 原油期货价格预测:混合频率预测器、机器学习和预测组合的叠加模型
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-10-07 Epub Date: 2026-09-08 DOI: 10.1002/fut.70139
Yilin Ma, Weizhong Wang, Yu Cheng

Low- and high-frequency data are widely used in crude oil futures price forecasting, and machine learning techniques exhibit strong performance. To enhance predictive accuracy, this study presents a stacking model that integrates mixed-frequency predictors, machine learning models, and forecast combination methods. Specifically, 18 low-frequency and 20 high-frequency predictors are selected, and 15 distinct machine learning models are applied for prediction. The forecasts of the top 10 individual models are screened based on out-of-sample performance over the past decade, then synthesized using the discounted mean squared prediction error combination method. Against 26 competing benchmarks, empirical results show that the proposed model consistently outperforms all benchmarks, underscoring the advantages of mixed-frequency data, machine learning, and combination methods. It further explores the model's dynamic forecast selection to clarify operational logic. In addition, we confirm its robustness across the business cycle and provide preliminary, small-sample evidence from the COVID-19 pandemic.

低频率和高频数据被广泛应用于原油期货价格预测,机器学习技术表现出色。为了提高预测精度,本研究提出了一个叠加模型,该模型集成了混合频率预测器、机器学习模型和预测组合方法。具体来说,选择了18个低频预测因子和20个高频预测因子,并应用了15个不同的机器学习模型进行预测。基于近十年的样本外表现,筛选出前10个个体模型的预测结果,然后采用均方折现预测误差组合法进行综合。在26个竞争性基准测试中,实证结果表明,所提出的模型始终优于所有基准测试,强调了混合频率数据、机器学习和组合方法的优势。进一步探讨模型的动态预测选择,厘清操作逻辑。此外,我们证实了其在整个商业周期中的稳健性,并提供了来自COVID-19大流行的初步小样本证据。
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引用次数: 0
Shape of Yield Curves Under Instrument-Based Parallel Shifts 基于仪器的平行位移下收益率曲线的形状
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-10-07 Epub Date: 2026-08-09 DOI: 10.1002/fut.70136
Jian Sun

This paper studies the shape of zero and par yield curves through the carry and convexity of zero-bond and par–swap butterflies under instrument-based parallel shifts: the component instruments are held fixed, and each instrument's own quote receives the same additive shock. Although this framework is a conditional scenario experiment rather than a model-independent restriction on admissible yield-curve shapes, it is simple and widely used in fixed-income risk management. For zero-coupon bonds, maturity is the natural horizontal coordinate; for par–swaps, the nonlinear bootstrap relation makes the fixed-leg annuity, or PV01, the relevant coordinate. Under the stated instrument-based evolution rule, an appropriately weighted zero-cost butterfly has a nonnegative instantaneous revaluation under either direction of an admissible common shift, while convexity of the initial curve in the relevant coordinate also generates positive short-horizon carry. These results provide a partial economic rationale for the commonly observed concavity of yield curves: convex segments can support positive-carry, level-neutral butterflies under the benchmark shift convention. We then examine daily US dollar par–swap rates from July 3, 2000 to October 28, 2016. The data are obtained from the Federal Reserve Bank of St. Louis FRED database. The empirical results show that convexity is more frequently detected in annuity coordinates than under maturity weighting and is concentrated primarily at the front end of the curve. Realized short-horizon movements are seldom instrument-parallel, and the gross advantage of convex butterflies is substantially reduced by nonlevel curve movements and transaction costs. The evidence, therefore, supports the use of annuity coordinates for constructing and evaluating swap butterflies, while also showing that the benchmark parallel-shift scenario should be interpreted as a risk-management device rather than as a description of typical realized curve dynamics.

本文研究了在基于工具的平行转移下,零利率和平价收益率曲线的形状,通过零利率债券和平价掉期蝴蝶的carry和凹凸性:组件工具保持固定,每个工具自己的报价受到相同的附加冲击。虽然这个框架是一个有条件的情景实验,而不是对可接受的收益率曲线形状的模型无关的限制,但它很简单,并广泛应用于固定收益风险管理。对于零息债券,到期日是自然的横坐标;对于par -掉期,非线性自举关系使得固定腿年金(PV01)成为相关坐标。在所述的基于仪器的进化规则下,适当加权的零成本蝴蝶在可接受的共移的任何方向上都具有非负的瞬时重估,而初始曲线在相应坐标上的凸性也产生正的短视界carry。这些结果为通常观察到的收益率曲线的凹性提供了部分经济原理:凸段可以支持基准转移惯例下的正套利,水平中性蝴蝶。然后,我们研究了2000年7月3日至2016年10月28日的每日美元隔夜掉期利率。这些数据来自圣路易斯联邦储备银行FRED数据库。实证结果表明,与期限加权相比,年金坐标的凸性更为明显,且凸性主要集中在曲线的前端。实现的短视界运动很少与仪器平行,凸蝴蝶的总体优势被非水平曲线运动和交易成本大大降低。因此,证据支持使用年金坐标来构建和评估互换蝴蝶,同时也表明基准平行转移情景应被解释为一种风险管理手段,而不是作为典型实现曲线动态的描述。
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引用次数: 0
The Role of Variance Risk Premium in Derivative Pricing: Modeling, Estimation and Impact 方差风险溢价在衍生品定价中的作用:建模、估计及影响
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-10-07 Epub Date: 2026-07-26 DOI: 10.1002/fut.70132
Marcos Escobar-Anel, Lars Stentoft, Xize Ye

This paper estimates a model where variance risk premiums (VRP) is not fully explained by equity risk premiums (ERP). This separation can be detected thanks to a new breed of GARCH models with enough innovations to disconnect returns from variances. This type of risk-neutralization is compatible with continuous-time settings. We document that volatility index (VI) term structures, VI futures, and equity options, could be highly sensitive to changes in VRP. When the model is jointly estimated a consistent and sizable VRP emerges; suggesting that joint estimation with VI futures has an edge based on total likelihood and numerical advantage.

本文估计了一个方差风险溢价(VRP)不能完全由股权风险溢价(ERP)解释的模型。由于新的GARCH模型具有足够的创新,可以将收益与方差分离开来,因此可以检测到这种分离。这种类型的风险中和与连续时间设置兼容。我们证明波动率指数(VI)期限结构、VI期货和股票期权可能对VRP的变化高度敏感。当模型被联合估计时,一个一致且相当大的VRP出现了;这表明与VI期货的联合估计具有基于总似然和数量优势的优势。
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引用次数: 0
Fading Attention and the Pricing of Default Risk in the German Market for Structured Products 德国结构性产品市场违约风险的淡忘与定价
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-09-11 Epub Date: 2026-08-16 DOI: 10.1002/fut.70135
Rainer Baule, Falk Jensen

Structured retail products are unsecured bonds subject to the default risk of the issuer. We analyze the price-setting policy of issuers with respect to this default risk. Using a long-term data set of discount certificates in the German market, we apply a time series IVX-approach to find that (i) quoted prices do depend on issuer default risk, but (ii) this dependency is under-proportional. Hence, retail investors are only partially compensated for bearing issuer default risk. A long-term analysis covering the global financial crisis, the European debt crisis, and the succeeding calm period, as well as supporting evidence from the coronavirus crisis, provides patterns consistent with a fading attention hypothesis: When default risk has left the focus of retail investors, they are no longer compensated for it, even if it becomes substantial, as in the early months of the coronavirus crisis.

结构性零售产品是由发行人承担违约风险的无担保债券。我们分析了发行人的定价政策与这种违约风险。使用德国市场贴现凭证的长期数据集,我们应用时间序列ivx方法发现(i)报价确实依赖于发行人违约风险,但(ii)这种依赖关系是不成比例的。因此,散户投资者只能部分补偿承担发行人违约风险。一项涵盖全球金融危机、欧洲债务危机和随后平静期的长期分析,以及来自冠状病毒危机的支持证据,提供了与注意力消退假说一致的模式:当违约风险离开散户投资者的关注焦点时,他们不再得到补偿,即使违约风险变得很大,就像冠状病毒危机的最初几个月一样。
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引用次数: 0
Optimal Futures Hedging Under Distinct Daytime and Overnight GARCH Processes: Leveraging Information FROM Opening, High, Low, and Closing Prices 不同日间和隔夜GARCH过程下的最优期货套期保值:利用开盘价、高价、低价和收盘价的信息
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-09-11 Epub Date: 2026-07-27 DOI: 10.1002/fut.70133
Yu-Sheng Lai

In this paper, novel two-component generalized autoregressive conditional heteroskedasticity (2COMP) models for optimal futures hedging are proposed. These models leverage the distinct dynamic patterns of daytime and overnight returns and valuable information regarding covariance prediction that is contained by opening, high, low, and closing price data. Compared with standard models, the proposed 2COMP models have higher predictive capability, achieving lower out-of-sample realized hedged portfolio variances when applied to US equity indices. These performance advantages can translate to economic benefits for hedgers, particularly those with higher risk aversion, and the findings illustrate the value of 2COMP models for effective hedging.

本文提出了一种新的适用于最优期货套期保值的双组分广义自回归条件异方差(2COMP)模型。这些模型利用了白天和夜间回报的不同动态模式,以及关于协方差预测的有价值的信息,这些信息包含在开盘、高位、低位和收盘价格数据中。与标准模型相比,本文提出的2COMP模型具有更高的预测能力,在应用于美国股票指数时实现了更低的样本外对冲组合方差。这些绩效优势可以转化为套期保值者的经济利益,特别是那些风险厌恶程度较高的人,研究结果说明了2COMP模型对有效套期保值的价值。
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引用次数: 0
Journal of Futures Markets: Volume 46, Number 10, October 2026 期货市场杂志:第46卷,第10期,2026年10月
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-09-11 DOI: 10.1002/fut.70138
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引用次数: 0
Skewness, Betas, and Commodity Futures Returns 偏度、贝塔系数和商品期货收益
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-09-11 Epub Date: 2026-07-30 DOI: 10.1002/fut.70131
Huan Yang, Jun Cai, Jie Zhu, Robert I. Webb

Skewness is one of the strongest predictors of commodity futures returns. The popular behavior-based explanation is that investors have a preference for positive skewness, which causes positively skewed commodity futures to become overpriced and subsequently earn lower expected returns. We regress skewness on estimated betas from a conditional seven-factor model that allows betas to vary with characteristics. The fitted values from these regressions are referred to as beta components, while the residuals represent non-beta components. Standard Fama–MacBeth regressions and portfolio-sorting analyses show that the predictive power of skewness is exclusively driven by its beta components, suggesting that skewness primarily captures systematic risk.

偏度是大宗商品期货收益的最强预测指标之一。流行的基于行为的解释是,投资者偏爱正偏度,这导致正偏度的大宗商品期货价格过高,随后获得较低的预期回报。我们从一个允许beta随特征变化的条件七因子模型中回归估计beta的偏度。这些回归的拟合值称为贝塔分量,而残差表示非贝塔分量。标准Fama-MacBeth回归和投资组合排序分析表明,偏度的预测能力完全由其beta成分驱动,这表明偏度主要捕获系统风险。
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引用次数: 0
A Comprehensive Analysis of Realized Skewness Trading 已实现偏度交易的综合分析
IF 2.8 4区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2026-08-04 Epub Date: 2026-07-06 DOI: 10.1002/fut.70124
Xinfeng Ruan, Pakorn Aschakulporn, Jin E. Zhang

This paper provides a comprehensive analysis of realized skewness trading, using analytical models, simulations, and empirical evidence. We highlight the importance of matching swap rates and realized measures in variance and skewness trading. A novel approach is introduced, employing swaps tied to the second and third moments of log returns over a future period. Our findings reveal that mismatches arise primarily from realized measures rather than from stable swap rates. We further propose that short-term (e.g., 1 month) skewness swaps, based on daily returns, could serve as effective tools for managing realized jump risks.

本文利用分析模型、模拟和经验证据,对已实现的偏度交易进行了全面分析。我们强调了匹配掉期利率的重要性,并在方差和偏度交易中实现了措施。引入了一种新颖的方法,使用与未来一段时间内对数回报的第二和第三时刻挂钩的掉期。我们的研究结果表明,错配主要来自已实现的措施,而不是稳定的掉期利率。我们进一步提出,基于日收益的短期(如1个月)偏度互换可以作为管理已实现跳跃风险的有效工具。
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引用次数: 0
期刊
Journal of Futures Markets
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