Economic: Journal Economic and Business
metadata only
Apple Stock Price Prediction Using Stochastic Model: A Geometric Brownian Motion Study
The dynamic and fluctuating nature of stock prices poses a challenge in investment decision-making. This study aims to analyze and predict the stock price of Apple Inc. (AAPL) using the Geometric Brownian Motion (GBM) stochastic model. Historical stock price data for Apple was collected from Yahoo!
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Effect of Corporate Taxes on Investment and Entrepreneurship#485780
- Miradas al cielo (y hacia adentro): el Grupo Astronómico Osiris#313403
- Gaussian fluctuations for the stochastic wave equation with drift#1035223
- Replication Data for: Mean first passage time of chiral active Brownian particles#261252
- Inverted ILM-flap Techniques Variants for Macular Hole Surgery: Outcomes Comparison#842647
Record · ID 1002747
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive