Systematic risk can arise from factors such as inflation, recessions, changes in interest rates, and other macroeconomic events that impact the overall market.

Accurate results are free from systematic and random errors and accuracy also involves trueness and precision. Precision is defined as the closeness of agreement between individual values.

Researchers at the University of Quebec and McGill in Canada have tested three statistical procedures to assess the presence of systematic error in experimental HTS data.