diff --git a/ppb_vector/__init__.py b/ppb_vector/__init__.py
index 719b08b9..2294ea12 100644
--- a/ppb_vector/__init__.py
+++ b/ppb_vector/__init__.py
@@ -83,6 +83,15 @@ def __new__(cls, *args, **kwargs):
 
         - any instance of :py:class:`Vector` or any subclass.
         """
+        if args and len(args) == 1:
+            value = args[0]
+            if isinstance(value, cls):
+                # Short circuit when a valid instance is provided
+                return value
+
+        return super().__new__(cls)
+
+    def __init__(self, *args, **kwargs):
         if args and kwargs:
             raise TypeError("Got a mix of positional and keyword arguments")
 
@@ -95,18 +104,19 @@ def __new__(cls, *args, **kwargs):
 
         if kwargs:
             x, y = kwargs['x'], kwargs['y']
+
         elif len(args) == 1:
             value = args[0]
-            if isinstance(value, cls):
-                # Short circuit if already a valid instance
-                return value
+            # Early return if the argument is a vector:
+            #  __new__ returned the same vector, no need to (re)set x and y
+            if isinstance(value, type(self)):
+                return
 
             x, y = Vector._unpack(value)
+
         elif len(args) == 2:
             x, y = args
 
-        self = super().__new__(cls)
-
         try:
             # The @dataclass decorator made the class frozen, so we need to
             #  bypass the class' default assignment function :
@@ -121,10 +131,8 @@ def __new__(cls, *args, **kwargs):
         except ValueError:
             raise TypeError(f"{type(y).__name__} object not convertable to float")
 
-        return self
-
     def __reduce__(self):
-        return Vector.__new__, (Vector, self.x, self.y)
+        return Vector, (self.x, self.y)
 
     #: Return a new :py:class:`Vector` replacing specified fields with new values.
     update = dataclasses.replace