Results 31 to 40 of about 8,785 (266)
Hedging with futures contracts in the Brazilian soybean complex: BM&F vs. CBOT
Revista de Economia e Sociologia Rural, 2003 This article analyzes the effectiveness of hedging Brazilian soy oil, soy meal, and soybeans in the Chicago Board of Trade (CBOT) and in the Brazilian Commodities and Futures Exchange (BM&F) to reduce the risk of financial loss due to commodity price ...
Silva Andréia Regina O. da +2 more
doaj +3 more sources
Financial Markets and Portfolio Management, 2023 AbstractGoal-based investing is concerned with reaching a monetary investment goal by a given finite deadline, which differs from mean-variance optimization in modern portfolio theory. In this article, we expand the close connection between goal-based investing and option hedging that was originally discovered in Browne (Adv Appl Probab 31(2):551–577 ...
Thomas Krabichler, Marcus Wunsch
openaire +2 more sources
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Hedging with modal auxiliary verbs in scientific discourse and women’s language
Open Linguistics, 2023 This Critical Discourse Analysis examines hedging as a linguistic device at the intersection of scientific discourse and women’s language. Hedging has been identified as a marker of scientific discourse where it is valued for expanding dialogic space for
Schmauss Lindsay Susannah, Kilian Kelly
doaj +1 more source
Advanced Science, EarlyView.An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
Can Bitcoin Glitter More Than Gold for Investment Styles?
SAGE Open, 2020 We compare the hedging, safe-haven, and diversification potential of gold and Bitcoin for different investment styles and industry portfolios in the United States.
Muhammad Abubakr Naeem +3 more
doaj +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source
Ex‐Ante Assessment of Farm Resilience to Institutional Shocks: A Modeling Approach
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Using the agent‐based model SWISSland, we simulate farm‐level responses and interactions under two institutional shocks: tariff reductions and direct payment reductions. Using a framework we developed, we assess resilience capacities, resilience attributes, and the provision of private and public goods, following the shock.
Nadja El Benni, Gabriele Mack
wiley +1 more source
Jurnal Riset Akuntansi Terpadu, 2020 Tujuan penelitian ini untuk menganalisis dan menguji Faktor-faktor yang mempengaruhi Keputusan hedging pada Perusahaan Manufaktur di Indonesia. Sampel yang digunakan dalam penelitian ini sebanyak 128 laporan keuangan Perusahaan pada tahun 2014 - 2017 ...
Hetrina Hetrina +2 more
doaj +1 more source
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.
Buehler, H. +3 more
openaire +5 more sources