Results 111 to 120 of about 137,583 (290)

Enhanced Lithium‐Ion Battery Parameter Estimation and SOC Prediction via Variable Forgetting Factor Bi‐Loop Recursive Least Squares

Energy Science & Engineering
The reliability of parameter accuracy in lithium‐ion battery models plays a crucial role in the efficiency of state‐of‐charge (SOC) estimation methods that employ model‐based strategies.
Wei Xia, Jinli Xu, Baolei Liu, Huiyun Duan   +3 more
doaj   +1 more source

Recursive Differential Evolution Algorithm for Inertia Parameter Identification of Space Manipulator

International Journal of Advanced Robotic Systems, 2016
This paper proposes a recursive differential evolution (RDE) algorithm to identify the inertial parameters of an unknown target and simultaneously revise the friction parameters of space manipulator joints.
Zhengxiong Liu, Panfeng Huang, Zhenyu Lu
doaj   +1 more source

Causation Delays and Causal Neutralization: The Money-Output Relationship Revisited [PDF]

In this paper, we develop a parametric test procedure for multiple horizon ”Granger” causality and apply the procedure to the well established problem of determining causal patterns in aggregate monthly U.S. money and output. As opposed to most papers in
Jonathan B. Hill
core  

Regime‐Dependent Nowcasting of the Austrian Economy

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley   +1 more source

Term Spread Volatility as a Leading Indicator of Economic Activity

Journal of Forecasting, EarlyView.
ABSTRACT In this paper, we examine the macroeconomic predictive power of the volatility of the US Treasury yield curve slope (term spread volatility). Our forecasting exercise shows that US term spread volatility has significant predictive power for US industrial production and employment growth.
Anastasios Megaritis, Dimitrios Bakas, Theodora Bermpei, Athanasios Triantafyllou   +3 more
wiley   +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

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

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

Climate Change Laws and European Stock Markets: An Event Analysis

International Journal of Finance &Economics, EarlyView.
ABSTRACT Under the context of the climate change we assess the impact of EU's legislative initiative on European stock markets. Specifically, we focus on its impact on energy and Environmental Social Governance (ESG) sectors for equity returns and volatility for a representative basket of EU countries (participating also in Eurozone) as well as ...
Theodoros Bratis, Georgios P. Kouretas, Evangelos Salachas   +2 more
wiley   +1 more source

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

InfoMat, EarlyView.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee, Juhwan Noh, Hyunjun Lee, Yea‐Lee Lee, Jino Im, Jangwon Seo   +5 more
wiley   +1 more source