One of the most important steps in developing a profitable statistical arbitrage trading strategy is choosing the right pairs of stocks to trade. This can be a difficult and time-consuming process, but it is essential in order to find pairs that are likely to produce profitable results. There are a …

Statistical arbitrage is a classic quantitative trading strategy that attempts to take advantage of statistical differences in the prices of assets. The strategy is based on the idea that if two assets are not perfectly correlated, then there is an opportunity to profit from the difference in their prices. Statistical …

Short volatility is a popular trading strategy that seeks to profit from selling volatility through Exchange Trade Notes or listed options. It is understood that the profit comes from the volatility risk premium, i.e. the fact that implied volatility generally overstates actual volatility. Some investors even consider this overstatement a …

We have discussed trading strategies for harvesting volatility risk premium. In a similar context, Reference examined the use of butterfly option positions as a trading strategy for long-term investors. An option butterfly position is a limited risk, non-directional options trading strategy that is designed to take advantage of a …

Statistical arbitrage involves the simultaneous purchase and sale of two or more assets in order to take advantage of price discrepancies. For example, a trader might buy shares of Company A and sell shares of Company B if the two companies are in the same industry and the price of …

Day trading is a trading strategy whereby traders aim to take advantage of small price movements in the market. To do this, they buy and sell securities within the same day. Day traders typically use technical, quantitative, or sentiment analysis to make decisions about when to buy and sell.  There …

The recent market correction has shown, once again, that the financial markets are strongly interconnected. The sell-off in stocks has led to a sharp increase in the credit spreads. The rally in oil price has helped commodity currencies such as the Canadian dollar and Australian dollar appreciate against the US …

In quantitative finance, the asset price is often modeled as the Geometric Brownian Motion (GBM). The GBM model is a stochastic process that describes the evolution of a price or other measurable quantity over time, assuming that it is subject to small random fluctuations (or “noise”) at each point in …

Options trading is often thought of as a professional’s domain. However, with the advent of online trading platforms, retail traders now have access to the same tools and information as professional traders. This has changed the dynamics of the options market, as retail traders can now trade options on a …

Machine learning and artificial intelligence is a new technology that has the potential to change the finance and trading industries. It can make the decision-making process faster and more accurate, which can lead to better results for traders and investors. There is, however, an interesting discussion about why there are …