## Nowcasting (NWC)

## Source details

**Canonical URL:** [Nowcasting (NWC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/nwcsa26-06)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/sa/2026/nwcsa26-06/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/sa/2026/nwcsa26-06/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/sa/2026/nwcsa26-06/bundle-manifest.json)

## Bibliographic details
- Session: SA 26.06
- Location: New Delhi, India New location
- Dates: February 16-27, 2026 (2 weeks)
- Delivery method: In-person Training
- Primary language: English
- Status: New dates

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### Training Program and Logistics
- Session No.: SA 26.06
- Location: New Delhi, India
- Date: February 16-27, 2026 (2 weeks)
- Delivery Method: In-person Training
- Primary Language: English
- Target Audience:
  - Junior and middle-level officials from ministries of finance, central banks, and other interested public institutions.

### Invitation and Qualifications
- Participants are expected to have:
  - An advanced degree in economics or equivalent experience.
  - A basic understanding of time-series econometrics.
  - Comfort using EViews (econometric software package).
- Recommended prior coursework:
  - Macroeconomic Forecasting and Analysis (MFA)
  - Macroeconomic Diagnostic (MDS)
  - These may be face-to-face or online.

### Course Description
- Presented by the Institute for Capacity Development.
- Provides participants with cutting-edge nowcasting tools to incorporate high-frequency economic indicators into the forecasting process.
- Integrates training into technical assistance on data compilation and dissemination.
- Each topic is complemented by hands-on workshops and assignments to illuminate steps required to formulate a nowcasting model and generate a nowcast.

### Course Objectives
Upon completion of this course, participants should be able to:
- Understand and be proficient in the steps required to manage time-series data in EViews, estimate an OLS regression and calculate its associated forecasts in EViews.
- Formulate several useful statistical procedures in EViews, including:
  - Consolidation of time series from higher to lower frequencies;
  - Interpolation techniques;
  - Seasonal adjustment;
  - Use of leading indicators.
- Identify appropriate high-frequency indicators useful for the nowcasting macroeconomic variables and prepare them for use in a nowcasting exercise.
- Formulate and estimate a nowcasting regression using several approaches, including Bridge, MIDAS, and U-MIDAS estimators.
- Generate a nowcast from the base regression and consolidate competing forecasts using combination forecasts.
- Evaluate the accuracy of the nowcast using several forecasting performance indicators.
- Apply the nowcasting tools to their own country data and interpret the nowcast appropriately in policy making settings.

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## References

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Core Elements of Banking Supervision (CBS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2027/cbsat27-10)
- [Advanced Government Finance Statistics (GFS-A)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/gfs-ace26-45)
- [Fiscal Sustainability (FS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/fsce26-38)
- [Safeguards Assessments of Central Banks (SAC)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/sacat26-30)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/nwcsa26-06_