paper-with-me

Papers

On the limits of informationally efficient stock markets: New insights from a chartist-fundamentalist model

2024-10-28 · Laura Gardini, Davide Radi, Noemi Schmitt, Iryna Sushko, Frank Westerhoff

We utilize a chartist-fundamentalist model to examine the limits of informationally efficient stock markets. In our model, chartists are permanently active in the stock market, while fundamentalists trade only when their mispricing-dependent trading signals are strong. Our findings indicate the possible coexistence of two distinct regimes. Depending on the initial conditions, the stock market may exhibit either constant or oscillatory mispricing. Constant mispricing occurs when chartists remain the sole active speculators, causing the stock price to converge toward a nonfundamental value. Conversely, the stock price oscillates around its fundamental value when fundamentalists repeatedly enter and exit the market. Exogenous shocks result in intricate regime-switching dynamics.

📄 PDF Abstract BibTeX arXiv:2410.21198

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Statistical Properties and Pre-hit Dynamics of Price Limit Hits in the Chinese Stock Markets

2015-03-12

Price limit trading rules are adopted in some stock markets (especially emerging markets) trying to cool off traders' short-term trading mania on individual stocks and increase market efficiency. Under such a microstruct…

VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning

2023-07-25 · Ivan Letteri

Volatility-based trading strategies have attracted a lot of attention in financial markets due to their ability to capture opportunities for profit from market dynamics. In this article, we propose a new volatility-based…

Variable Selection

Interconnected Markets: Exploring the Dynamic Relationship Between BRICS Stock Markets and Cryptocurrency

2024-06-11 · Wei Wang, Haibo Wang, Wendy Wang, Martin Enilov

This study aims to examine the intricate dynamics between BRICS traditional stock assets and the evolving landscape of cryptocurrencies. Using a time-varying parameter vector autoregression model (TVP-VAR), we have analy…

MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents

2025-02-01 · George Fatouros, Kostas Metaxas, John Soldatos, Manos Karathanassis

MarketSenseAI is a novel framework for holistic stock analysis which leverages Large Language Models (LLMs) to process financial news, historical prices, company fundamentals and the macroeconomic environment to support …

Decision MakingFinancial AnalysisRetrieval-augmented Generation

The cooling-off effect of price limits in the Chinese stock markets

2018-03-26

In this paper, we investigate the cooling-off effect (opposite to the magnet effect) from two aspects. Firstly, from the viewpoint of dynamics, we study the existence of the cooling-off effect by following the dynamical …