Skip to main content

Different Methods to Estimate the Value-at-Risk of a portfolio.

Project description

"The search for appropriate risk measuring methodologies has been followed by increased financial uncertainty worldwide. Financial turmoil and the increased volatility of financial markets have induced the design and development of more sophisticated tools for measuring and forecasting risk. The most well known risk measure is value at risk (VaR), which is defined as the maximum loss over a targeted horizon for a given level of confidence. In other words, it is an estimation of the tails of the empirical distribution of financial losses. It can be used in all types of financial risk measurement" (Julija Cerović Smolovic, 2017).

In addition to Value at Risk, the package includes Conditional Value at Risk (Expected Shortfall or CVaR) and Conditional Drawdown at Risk (CDaR).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

var-2024.3.0.tar.gz (20.8 kB view details)

Uploaded Source

File details

Details for the file var-2024.3.0.tar.gz.

File metadata

  • Download URL: var-2024.3.0.tar.gz
  • Upload date:
  • Size: 20.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for var-2024.3.0.tar.gz
Algorithm Hash digest
SHA256 ece2e8a8dcb370ac7685f2e6651aef9f727222b3bce2afbb2613fa47f2444534
MD5 051693681429e565ac0d68ac815b955a
BLAKE2b-256 7c206ae570a1413c56137cfc42d4dbe575f00d8249972f8d41ef54433efb452d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page