【TEJ Dictionary】 Insights into Investment Information Sources: Guiding Financial Decisions

TEJ 台灣經濟新報
TEJ Dictionary
Published in
7 min readFeb 1, 2024

Quantitative investment analysis has become a crucial aspect of the financial domain. Among these, substantial investment data support is the most essential part.

Introduction

In the world of finance, understanding the sources of investment information is critical for investors and creditors. Reliable data is key to making sound financial decisions and assessing risks. The landscape of investment information is broad, encompassing various sources with differing levels of quality and trustworthiness. Recognizing and evaluating these sources is vital for forming effective investment strategies.

The journey into investment theories has evolved significantly, from foundational concepts like Markowitz’s Portfolio Theory to advanced models such as Sharpe’s Capital Asset Pricing Model (CAPM). These developments have highlighted the role of stock characteristics in predicting returns and have been instrumental in the emergence of quantitative investment analysis. This field stands at the forefront of financial analysis, with investment data at its core.

This guide aims to demystify the process of identifying and utilizing primary sources of investment information. We’ll explore how to determine the quality of this information and address common biases in investment data. A practical example could be how a single piece of high-quality, timely information can alter an investor’s decision, impacting their portfolio’s performance. Statistics or real-life instances will be used to underline the significance of reliable sources.

Understanding that the sources of investment information vary in credibility, we smoothly transition to how TEJ assists in navigating this complexity. TEJ’s unique methodology and expertise in data curation and analysis simplify the decision-making process for investors and creditors. By the end of this article, you will have a clearer perspective on assessing and applying investment information to your financial strategies.

Primary Sources of Investment Information

Investors and creditors can obtain crucial investment information from various primary sources, including financial markets, company financial data, and corporate events.

Financial markets

Financial markets trade assets like stocks, bonds, and options. They provide up-to-date information on prices and transactions. This data reflects what’s happening in the market, including demand, supply, and future predictions. Most financial markets have an official website where they post this data.

Company reports

These are documents a company releases, like financial statements, annual and quarterly reports, and press releases. They give detailed information about a company’s financial status, how it’s performing, its goals, and any risks it faces. This helps investors and creditors understand where the company stands and its potential for growth.

Corporate event data

This data includes information on big events in a company, like changes in management, insider stock transactions, mergers and acquisitions, and changes in policies about dividends and stock. These events are important, and the data usually comes with the dates they’re announced. This is useful for analyzing how these events affect the company or for more detailed study.

Evaluating Investment Information Sources

When making investment decisions, investors and creditors need reliable, relevant, and timely sources of investment information. However, with numerous information sources available, how to verify the source of investment information that is high quality for investors and creditors to make decisions concerning a company?

Reliability

The reliability of an information source is based on its accuracy, completeness, and lack of bias. Investors and creditors need to check how the data is defined, how it’s collected, where it comes from, and any references used. They should steer clear of sources that are unclear, biased, or potentially misleading.

Relevance

Relevance is about how well the information matches the investor’s objectives, risk tolerance, and investment timeframe. It’s important for investors and creditors to choose sources that fit their specific investment focus, whether it’s a particular industry, market, or type of investment. For instance, traders might give more weight to market data, while creditors could lean more towards financial and corporate event data. Information that isn’t directly related to their investment needs, like news about a company manager’s personal life, should be ignored.

Timeliness

Timeliness refers to the update frequency of the sources of investment information and its speed in reflecting market changes. Investors and creditors should opt for sources that offer the most current and precise information, which can effectively track and analyze market movements and trends. Sources that are outdated or slow to reflect market changes are less useful.

TEJ is at the forefront of these changes, continually adapting its strategies to leverage emerging trends. Whether it’s integrating alternative data sources into its analysis or utilizing AI for more accurate predictions, TEJ remains committed to providing cutting-edge financial data solutions.

Navigating Common Investment Information Biases

After evaluating the sources of investment information, the next step is making an investment decision. Analyzing vast amounts of information is common, but not all information is accurate or complete. Here are some common biases.

Common Investment Information Bias.

Survivorship Bias

Focusing only on surviving enterprises or targets while neglecting eliminated or failed ones leads to an overly optimistic assessment of market or industry performance. To avoid survivorship bias, collect more information, including both successful and failed cases, and objectively evaluate the overall condition and trends of the market or industry.

Look-Ahead Bias

Look-ahead bias occurs in quantitative analysis when future data is used instead of the data available at that time. For example, if financial statements are retroactively adjusted or revised with data from the same period in the previous year, it constitutes future data. Utilizing such data as selection criteria for stock picking can result in a strategy that fails to accurately reflect real trading conditions.

Historical Price Adjustment

Ignoring the impact of events, such as stock splits, rights issues, dividends, etc., on stock prices when analyzing price trends leads to incorrect judgments about price changes. To avoid historical price adjustments, use adjusted stock prices to analyze price trends and pay attention to other important indicators such as the P/E ratio and market value. Sources of investment information may encompass various biases, which can ultimately lead to inaccurate backtesting results. To address these biases, having comprehensive historical data and real-time updated point-in-time data is the only solution.

TEJ provides a quantitative analysis dataset in the Asia financial market, with comprehensive delisting and listing data, enabling users to develop strategies and avoid survivorship bias. we exclusively provide users with recompiled financial report data, enhancing the precision of strategy development. Furthermore, our data retains the announcement date, crucial for understanding the most authentic price response on the announcement day. TEJ’s adjusted stock prices prevent unusual fluctuations after ex-dividend dates, allowing you to compare current and past prices on the same baseline.

Impact of Quality Investment Information

Investors and creditors heavily rely on high-quality investment information. Sources of investment information, characterized by reliability, relevance, and timeliness, play a pivotal role in analyzing a company’s performance, financial health, and market dynamics.

Simultaneously, recognizing the impact of data bias on investment quality is paramount in quantitative analysis. Investors may achieve favorable outcomes in their quantitative models, only to face significant challenges when executing strategies in the real market. Neglecting investment bias is like overlooking the inherent variability of the market.

In this context, having a database that automates data cleansing and addresses investment bias becomes crucial. TEJ, located in Taiwan, serves local financial and academic institutions with over 30 years of history. What’s even more, we offer high-quality financial data from the five major Asian markets through long-term partnerships with renowned global data providers.

Where do Creditors and Investors Obtain Information to Make Decisions Concerning a Company?

As a financial data provider, we understand that relying on narrow, inaccurate, or outdated sources of investment information can hinder your strategy and prevent you from understanding real market dynamics. Therefore, we significantly emphasize data completeness, accuracy, and point-in-time practices.

TEJ’s Quantitative Analysis Dataset covers trading and financial information across the Asian market, providing real-time stock prices and indices. Furthermore, our researchers regularly clean and review the data to maintain the quality of investment information, assisting you in making decisions that cater to real market changes.

In addition to the extensive coverage of market information and quality sources of investment information, our database features the essential spirit of point-in-time data for quantitative analysis.

With TEJ point-in-time data, you will:

  1. Get a Precise Historical Perspective.
  2. Assure that your strategy will run as anticipated in the real market.
  3. Establish a Competitive Advantage over Rivals Relying on Biased Data.

As investors and creditors navigate the evolving landscape of financial markets, TEJ’s database is your reliable ally, building your confidence in the data-driven decision-making process.

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TEJ 台灣經濟新報
TEJ Dictionary

TEJ 為台灣本土第一大財經資訊公司,成立於 1990 年,提供金融市場基本分析所需資訊,以及信用風險、法遵科技、資產評價、量化分析及 ESG 等解決方案及顧問服務。鑒於財務金融領域日趨多元與複雜,TEJ 結合實務與學術界的精英人才,致力於開發機器學習、人工智慧 AI 及自然語言處理 NLP 等新技術,持續提供創新服務