Analyzing global fixed income markets with tensors

Roughly speaking, a tensor is an array (generalization of a matrix) of numbers that transform according to certain rules when the array’s coordinates change....

The power of R for trading (part 1)

R is an object-oriented programming language and work environment for statistical analysis. It is not just for programmers, but for everyone conducting data analysis,...

Commodity trends as predictors of bond returns

Simple commodity price changes may reflect either supply or demand shocks. However, filtered commodity price trends are plausibly more aligned with demand, economic growth...

Natural language processing for financial markets

News and comments are major drivers for asset prices, maybe more so than conventional price and economic data. Yet it is impossible for any...

U.S. Treasuries: decomposing the yield curve and predicting returns

A new paper proposes to decompose the U.S. government bond yield curve by applying a ‘bootstrapping method’ that resamples observed return differences across maturities....

Systematic trading strategies: fooled by live records

Allocators to systematic strategies usually trust live records far more than backtests. Given the moral hazard issues of backtesting in the financial industry, this...

Survival in the trading factor zoo

The algorithmic strategy business likes quoting academic research to support specific trading factors, particularly in the equity space. Unfortunately, the rules of conventional academic...

The dollar as barometer for credit market risk

The external value of the USD has become a key factor of U.S. and global credit conditions. This reflects the surge in global USD-denominated...

Algorithmic strategies: managing the overfitting bias

The business of algorithmic trading strategies creates incentives for model overfitting and backtest embellishment: researchers must pass Sharpe ratio thresholds for their strategies to...

Why herding is the death of momentum

Momentum trading, buying winning assets and selling losing assets, is a most popular trading strategy. It relies on sluggish market adjustment, allowing the trader...

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The low-risk effect refers to the empirical finding that within an asset classes higher-beta securities fail to outperform lower-beta securities. As a result, “betting...

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