# compare\_with\_bm

### Description

This functionality allows you to analyze the performance of a specific model compared to chosen benchmarks over a selected time frame. Utilize Plotly for interactive graphics or Matplotlib for static visualizations.

### **Parameters**

* `model` (str): The identifier for the model under analysis.
* `bms` (str or list): A benchmark or list of benchmarks for comparison.
* `start` (int, optional): The start date for the analysis period, in YYYYMMDD format.
* `end` (int, optional): The end date for the analysis period, in YYYYMMDD format.
* `interest` (bool, optional): Adjust returns for compounding interest if set to True.
* `interactive` (bool, optional): Choose between interactive visualization with Plotly or static visualization with Matplotlib.

### **Example**

```python
Evaluator.compare_with_bm('alpha.krx.krx.stock.ywcho.SP6NDQ4',
                bms = ['KOSPI', 'NASDAQ100', 'alpha.krx.krx.stock.ywcho.SP4NDQ6'],
                start =20210101,
                end =20240603,
                interest = True,
                interactive=False)
```

### **Benchmarks Overview**

This section provides a selection of key benchmark indices that are crucial in assessing the global financial market's performance. These benchmarks act as reference points for investors, analysts, and portfolio managers:

**Global Indices:**

* `MSCI ACWI` (All Country World Index)

**North American Indices:**

* `DJIA` (Dow Jones Industrial Average)
* `NASDAQ100`
* `NASDAQ_COMPOSITE`
* `RUSSELL_2000`
* `S&P500`
* `MSCI_US_REIT`
* `US_DOLLAR`
* `US_DOLLAR_INDEX`
* `VIX` (CBOE Volatility Index)
* `CANADA_S&P_TSX`

**European Indices:**

* `DAX` (Germany's DAX Index)
* `EURO_STOXX_50`
* `FTSE_100_INDEX` (UK Financial Times Stock Exchange 100 Index)
* `STOXX50`
* `STOXX600`

**Asian Indices:**

* `CSI300` (China Securities Index 300)
* `HANG_SENG_INDEX`
* `HANG_SENG_CHINA_ENTERPRISES_INDEX`
* `HO_CHI_MINH_STOCK_INDEX` (Vietnam)
* `KOSPI`
* `KOSDAQ`
* `NIKKEI_225_INDEX` (Japan)
* `PHLX_SEMICONDUCTOR_S`
* `SHANGHAI_COMPOSITE_INDEX`

**KOSPI-Specific Categories:**

* `KOSPI200`
* `KOSPI_LARGECAP`
* `KOSPI_MIDCAP`
* `KOSPI_SMALLCAP`

**Specialty Commodity Indices:**

* `S&P_GSCI` (Standard & Poor's Goldman Sachs Commodity Index)
* `S&P_GSCI_CRUDE`
* `S&P_GSCI_PM` (Precious Metals)

### **Errors**

* Raises an `ImportError` if Plotly or Matplotlib is not installed.
* Raises a `ValueError` for incorrect parameter inputs.
