Research Article

Dynamics in the Predictability of Credit Default Swap Spreads of EU Companies

Table 3

Frequencies of appearances of variables in forecasting models.

VariablePercentage of models where the variable is included (%)Fraction with negative coefficients (%)Fraction with positive coefficients (%)

Δln(market capitalisation)t−164.4100.00.0
Δln(STOXX 50)t−160.096.33.7
Δln(volatility index for STOXX 50)t−116.76.793.3
Δ(3-month LIBOR for EUR)t−14.425.075.0
Δln(3-month LIBOR for USD)t−136.790.99.1
Δln(3-month LIBOR for GBP)t−11.10.0100.0
Δln(EUR/USD exchange rate)t−170.0100.00.0
Δln(EUR/GBP exchange rate)t−117.80.0100.0
Δln(EUR/CNY exchange rate)t−126.7100.00.0
Δ(German 10-year bond yield)t−137.8100.00.0
Δ(French 10-year bond yield)t−17.871.428.6
Δln(Italian 10-year bond yield)t−168.90.0100.0
Δln(gold futures)t−120.00.0100.0
Δln(Brent crude oil futures)t−155.6100.00.0
Δln(natural gas futures)t−12.2100.00.0
Δln(CDS spread)t−157.817.382.7