This paper presents a backtesting framework for a probability of default (PD) model, assuming that the latter is calibrated to both point-in-time (PIT) and through-the-cycle (TTC) levels. We claim ...

The Basel Accords require financial institutions to regularly validate their loss given default (LGD) models. This is crucial so banks are not misestimating the minimum required capital to protect ...

In the constantly changing world of cryptocurrency trading, artificial intelligence (AI) has emerged as one of the strongest tools available to traders who demand data-informed decisions. But an AI ...

Backtesting is an essential part of the trading and investment process as it reveals how a strategy would perform under real-market conditions. It enables traders and analysts to assess, through ...

Traders look for an advantage, but most of it lies in past data. Backtesting examines how a strategy would have performed under real market conditions before any money is committed. It shows the ...

Backtesting is the process of applying a trading strategy to historical price data to see how it would have performed in the past. It allows traders to test their ideas and plans without using real ...

With a wide range of markets to trade on our platforms, you’ll need a backtesting strategy that’s best suited for each asset class. Explore the benefits and risks of backtesting. Backtesting is a way ...

The European Market Infrastructure Regulation (EMIR) 3 Refit comprises many moving parts. One notable element is a process revision for the validation of the models used to calculate initial margins.