Blog Posts

Options strategies for low volatility generally center around two main goals: Options strategies to take advantage of low volatility environments Options strategies to limit portfolio volatility to better balance risk and return, preserve capital, and limit drawdowns and tail risk In low volatility environments, where price movements are expected to be smaller and more predictable, […]

Preparing for a quant finance interview involves tackling a range of questions that test your knowledge in mathematics, finance, and programming, along with your problem-solving skills. Behavioral and situational questions will also be part of the interview. Here are some key areas you should be prepared to address, along with example questions and answers for […]

Gamma scalping is an advanced options trading strategy that capitalizes on the changes in an option’s delta, trying to profit from short-term price movements. In this article we break down the concept.   Key Takeaways – Gamma Scalping Market Neutrality Gamma scalping allows traders to manage risk in volatile markets by adjusting their positions to […]

Academic papers can be a great way to not only learn, but also derive trading ideas. For example, in this article, we’ll consider the following paper and how we can derive insights and trade ideas from what’s written: The Term Structure of Covered Interest Rate Parity Violations   Key Takeaways – How to Turn Academic […]

Market microstructure is a specialized area within finance that explains how assets are exchanged in markets. Market microstructure affects liquidity, transaction costs, and price discovery. It’s applicable to both real and financial assets, but the latter has seen more extensive research due to the readily available transaction data. The primary focus of market microstructure research […]

What separates professional traders from amateur traders? What do they know or what traits do they share? Let’s take a look. 1) Risk Management Professionals have a strong understanding of risk management principles and techniques, such as position sizing, cost-effective use of options, and portfolio diversification. They tend to think of having a certain structure […]

Time series forecasting models in trading are statistical techniques used to predict future values of financial assets based on historical data. These models try to identify patterns and trends in time series data to help traders to make informed decisions about entry and exit points, as well as risk management strategies. Accurate forecasting can provide […]

Duration-neutral spread basis (DNSB) refers to a trading strategy or approach that tries to construct a portfolio or set of positions that are uncorrelated or neutral to the broader market movements, specifically to changes in interest rates or duration risk. The goal is to systematically eliminate or minimize exposure to the overall market risk while […]

Convergence trading strategies try to profit from the temporary mispricing of two related financial instruments that have diverged from their long-term equilibrium relationship.  Traders establish positions that will ideally benefit when the identified mispricing corrects itself and the assets converge back toward their expected equilibrium.  A deep understanding of the cause-effect mechanics and drivers of […]

We look at the differences between cointegration and correlations and its application in trading. Imagine a trader observing two assets that seem to move in unison. Do these assets offer a solid basis for a trading strategy (e.g., eventual convergence if they run apart)? Noticing this movement alone isn’t sufficient. It’s important to determine whether […]