diff --git a/darts/tests/test_timeseries.py b/darts/tests/test_timeseries.py
index 1055118250..db5459fee6 100644
--- a/darts/tests/test_timeseries.py
+++ b/darts/tests/test_timeseries.py
@@ -78,6 +78,18 @@ def test_creation(self):
         )
         _ = TimeSeries.from_xarray(ar)
 
+    def test_pandas_creation(self):
+        pd_series = pd.Series(range(10), name="test_name", dtype="float32")
+        ts = TimeSeries.from_series(pd_series)
+        ts_pd_series = ts.pd_series()
+        assert ts_pd_series.equals(pd_series)
+        assert ts_pd_series.name == pd_series.name
+
+        pd_df = pd_series.to_frame()
+        ts = TimeSeries.from_dataframe(pd_df)
+        ts_pd_df = ts.pd_dataframe()
+        assert ts_pd_df.equals(pd_df)
+
     def test_integer_range_indexing(self):
         # sanity checks for the integer-indexed series
         range_indexed_data = np.random.randn(
diff --git a/darts/tests/test_timeseries_static_covariates.py b/darts/tests/test_timeseries_static_covariates.py
index 2a6d1ee986..917f76a49e 100644
--- a/darts/tests/test_timeseries_static_covariates.py
+++ b/darts/tests/test_timeseries_static_covariates.py
@@ -61,8 +61,7 @@ def test_ts_from_x(self, tmpdir_module):
                 ts.pd_dataframe(), static_covariates=ts.static_covariates
             ),
         )
-        # ts.pd_series() loses component names -> static covariates have different components names
-        self.helper_test_cov_transfer_values(
+        self.helper_test_cov_transfer(
             ts,
             TimeSeries.from_series(
                 ts.pd_series(), static_covariates=ts.static_covariates
diff --git a/darts/timeseries.py b/darts/timeseries.py
index 8e8429fa3d..1792dfe345 100644
--- a/darts/timeseries.py
+++ b/darts/timeseries.py
@@ -1472,10 +1472,16 @@ def pd_series(self, copy=True) -> pd.Series:
         self._assert_deterministic()
         if copy:
             return pd.Series(
-                self._xa[:, 0, 0].values.copy(), index=self._time_index.copy()
+                self._xa[:, 0, 0].values.copy(),
+                index=self._time_index.copy(),
+                name=self.components[0],
             )
         else:
-            return pd.Series(self._xa[:, 0, 0].values, index=self._time_index)
+            return pd.Series(
+                self._xa[:, 0, 0].values,
+                index=self._time_index,
+                name=self.components[0],
+            )
 
     def pd_dataframe(self, copy=True, suppress_warnings=False) -> pd.DataFrame:
         """