BUG: pd.date_range gives wrong overflow error type when freq='B'
#### Code Sample, a copy-pastable example if possible

```python
>>> date = pd.Timestamp.max.floor("D").to_pydatetime().date()  # datetime.date(2262, 4, 11)
>>> freq = 'B'
>>> pd.date_range(date, periods=1, freq=freq)
OverflowError: int too big to convert
>>> freq = 'D'
>>> pd.date_range(date, periods=1, freq=freq)
OutOfBoundsDatetime: Cannot generate range with start=9223286400000000000 and periods=1
```
#### Problem description

These two date_range overflows return different error types. Both should reasonablyreturn ``OutOfBoundsDatetime``.

<details>

INSTALLED VERSIONS
------------------
commit: 8221ee91d15b01a190d73ea10d47af81de296c90
python: 3.7.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.24.0.dev0+1257.g8221ee91d
pytest: 4.0.0
pip: 18.1
setuptools: 40.6.2
Cython: 0.29
numpy: 1.15.4
scipy: None
pyarrow: 0.11.1
xarray: None
IPython: 7.1.1
sphinx: None
patsy: None
dateutil: 2.7.5
pytz: 2018.7
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: 0.4.0
matplotlib: 3.0.1
openpyxl: None
xlrd: 1.1.0
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None

</details>
