Beginners Guide

Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.

Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.

Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.

Quantitative data collection methods include surveys, interviews, observations, and dataset reviews. Explore the techniques, pros, and cons of each method.

Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.

what is the right way to invest? If you’ve had the same doubts, you’re not alone. While seeking answers, I stumbled upon a term that was entirely new to me: quantitative finance. Learning this field helps resolve personal financial challenges and enhances career competitiveness. More importantly, it sharpens your logical thinking and data analysis skills—benefits that are hard to overlook. TQuant Lab provides everything you need to get started efficiently and effectively. Let’s embark on this journey together and explore the endless possibilities of quantitative trading!

Learn about the basics of long-short equity investing, from its core concepts and the common strategies, as well as the benefits and risks involved.

Odd lot trading is all about buying and selling smaller amounts of stock that don’t add up to a full trading unit (usually 1,000 shares). So, instead of needing a lot of money to buy a full unit at once, you can start with a smaller amount of shares. This is super handy for anyone with a limited budget who still wants to get into stock investing!

Data analytics in the stock market plays a vital role in understanding market dynamics, making informed decisions, and optimizing investment strategies. This process involves deep analysis of extensive datasets to extract market trends, actionable insights, and predictive indicators. It's the key to forecasting market movements, identifying investment opportunities, and managing risks with a data-driven approach.

By analyzing the stock price performance of the market and related industries during the past three Olympic Games, we can reveal the Olympic market trends of the stock market during the events.

By analyzing the motives behind insider block trades, we aim to explore the relationship between stock prices and insider transfers.

During the election period, the internet is full of election-related news; some even make relevant expectations on the stock market, affecting investor's sentiment. However, does the so-called "election market trend" really exist? In this article, we will conduct a quantitative analysis on Taiwan stock index in previous presidential elections using TEJ API.