Results 91 to 100 of about 3,187 (246)

Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums

Journal of Futures Markets, EarlyView.
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley   +1 more source

The prosodic and intonational mapping of complex sentences in Luo

Cogent Arts & Humanities
This paper presents the intonational mapping of complex sentences in Luo by analyzing the prosodic cues of sentences with subordinate clauses. The study involved an analysis of 168 tokens.
Zilpah Saul Ombijah
doaj   +1 more source

The Role of Price‐Volatility Cojumps in Volatility Forecasting

Journal of Futures Markets, EarlyView.
ABSTRACT This paper investigates whether simultaneous jumps in prices and volatility improve volatility forecasting. Using up‐to‐date high‐frequency S&P 500 and VIX data, we identify price‐volatility cojumps at the intraday granularity and construct upside, downside, and asymmetric measures.
Kefu Liao
wiley   +1 more source

CNN–Transformer Hybrid Architecture for Underwater Sonar Image Segmentation

Remote Sensing
The salient object detection (SOD) of forward-looking sonar images plays a crucial role in underwater detection and rescue tasks. However, the existing SOD algorithms find it difficult to effectively extract salient features and spatial structure ...
Juan Lei, Huigang Wang, Zelin Lei, Jiayuan Li, Shaowei Rong   +4 more
doaj   +1 more source

Why Do Hedgers Hedge? The Role of Ambiguity

Journal of Futures Markets, EarlyView.
ABSTRACT This paper investigates whether ambiguity influences hedging behavior in commodity futures markets. Using high‐frequency crude oil futures data, distinct measures of risk and ambiguity are linked to weekly hedging positions from the Commodity Futures Trading Commission (CFTC).
Fiona Höllmann
wiley   +1 more source

Low-dimensional representation and prediction of supersonic gas-solid two-phase flow field based on CAE-BiLSTM

Results in Engineering
Dynamic monitoring and rapid prediction of supersonic gas-solid two-phase flow fields are critical for the optimal design and flow control of solid rocket scramjets.
Liangliang Zhang, Zhixun Xia, Likun Ma, Yunchao Feng, Binbin Chen, Pengnian Yang, Luxi Xu   +6 more
doaj   +1 more source

Quadratic Hedging of American Options Under GARCH Models

Journal of Futures Markets, EarlyView.
ABSTRACT American options are widely traded in financial markets, yet there is a scarcity of literature on hedging in incomplete markets. In this paper, we derive optimal hedging ratios and option values using Local Risk Minimization (LRM) and Global Risk Minimization (GRM) hedging strategies through dynamic programming.
Junmei Ma, Chen Wang, Wei Xu
wiley   +1 more source

Precision planter monitoring system based on mobile communication network

IET Networks, EarlyView., 2022
Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley   +1 more source

Ultrathin Hafnium‐Based Ferroelectric Devices for In‐Memory Computing Applications

Information &Functional Materials, EarlyView.
Hafnium‐based ferroelectric devices exhibit advantages in nonvolatile storage, low power consumption, and ultrahigh operation speed, positioning them as strong candidates for constructing hardware neural networks. ABSTRACT The discovery of ferroelectricity in HfO2‐based ferroelectrics at the ultrathin scale has reignited enthusiasm for ferroelectric ...
Chenghong Mo, Zheng Wang, Jialin Meng, Tianyu Wang   +3 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source