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-rw-r--r--openbb_platform/extensions/econometrics/openbb_econometrics/econometrics_router.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/openbb_platform/extensions/econometrics/openbb_econometrics/econometrics_router.py b/openbb_platform/extensions/econometrics/openbb_econometrics/econometrics_router.py
index 0c7b52529a0..2a1a941e553 100644
--- a/openbb_platform/extensions/econometrics/openbb_econometrics/econometrics_router.py
+++ b/openbb_platform/extensions/econometrics/openbb_econometrics/econometrics_router.py
@@ -353,10 +353,10 @@ def causality(
x_column: str,
lag: PositiveInt = 3,
) -> OBBject[Data]:
- """Perform Granger causality test to determine if X "causes" y.
+ """Perform Granger causality test to determine if X 'causes' y.
The Granger causality test is a statistical hypothesis test to determine if one time series is useful in
- forecasting another. While "causality" in this context does not imply a cause-and-effect relationship in
+ forecasting another. While 'causality' in this context does not imply a cause-and-effect relationship in
the philosophical sense, it does test whether changes in one variable are systematically followed by changes
in another variable, suggesting a predictive relationship. By specifying a lag, you set the number of periods to
look back in the time series to assess this relationship. This test is particularly useful in economic and