Say I have a dataset as follows.

```
|Time | Unemployment_rate | GDP_growth | Customer_defaults |
-------------------------------------------------------------
| 2000 Q1 | 4% | 2% | 5% |
| 2000 Q2 | 6% | 2% | 6% |
```

forecasting the defaults rate (but I already have the forecasts for the factors)

```
| 2000 Q3 | 5% | 3% | ??? |
```

I have timeseries data for some macroeconomic factors which drives the customer defaults for home loans. The important point here is that I **ALREADY HAVE** the forecasts for the factors and want to use those to forecast the defaults.

I know this is like a multivariate time series modelling problem. But from what I have read those models would forecast my factors as well which I don't want (as I already have forecasts received from experts).

So my question is what kind of techniques I could use to solve this?