时变基本原理在学习预测实验中的作用

IF 0.8 4区 经济学 Q3 ECONOMICS
Simone Alfarano, Eva Camacho-Cuena, Annarita Colasante, Alba Ruiz-Buforn
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引用次数: 0

摘要

受宏观经济情景的启发,我们的目标是通过实验研究在不同基本条件下短期和长期预期的演变。我们在一系列具有时变基本值的学习预测实验中收集对未来价格的个人预测。特别是,我们观察到,在基本价值遵循v型或反v型模式的市场中,预期是如何演变的。这些条件与具有恒定和略微线性增长的基本价值特征的市场进行比较。我们通过考虑正反馈和负反馈-期望系统来评估基本面的微小但系统的变化是否会影响个人的短期和长期预期。与基本面不变的情况相比,在正反馈市场中,缓慢变化的基本面对受试者如何形成预期的影响有限,而在负反馈市场中,我们观察到显著的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The effect of time-varying fundamentals in learning-to-forecast experiments

The effect of time-varying fundamentals in learning-to-forecast experiments

Inspired by macroeconomic scenarios, we aim to experimentally investigate the evolution of short- and long-run expectations under different specifications of the fundamentals. We collect individual predictions for future prices in a series of Learning to Forecast Experiments with a time-varying fundamental value. In particular, we observe how expectations evolve in markets where the fundamental value follows either a V-shaped or an inverse V-shaped pattern. These conditions are compared with markets characterized by a constant and a slightly linear increasing fundamental value. We assess whether minor but systematic variations in the fundamentals affect individual short- and long-run expectations by considering positive and negative feedback-expectation systems. Compared to a setting with constant fundamentals, the slowly varying fundamentals have a limited impact on how subjects form their expectations in positive feedback markets, whereas in negative feedback markets we observe notable changes.

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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
33
期刊介绍: Journal of Economic Interaction and Coordination addresses the vibrant and interdisciplinary field of agent-based approaches to economics and social sciences. It focuses on simulating and synthesizing emergent phenomena and collective behavior in order to understand economic and social systems. Relevant topics include, but are not limited to, the following: markets as complex adaptive systems, multi-agents in economics, artificial markets with heterogeneous agents, financial markets with heterogeneous agents, theory and simulation of agent-based models, adaptive agents with artificial intelligence, interacting particle systems in economics, social and complex networks, econophysics, non-linear economic dynamics, evolutionary games, market mechanisms in distributed computing systems, experimental economics, collective decisions. Contributions are mostly from economics, physics, computer science and related fields and are typically based on sound theoretical models and supported by experimental validation. Survey papers are also welcome. Journal of Economic Interaction and Coordination is the official journal of the Association of Economic Science with Heterogeneous Interacting Agents. Officially cited as: J Econ Interact Coord
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