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We compare expected shortfall with value-at-risk (VaR) in three aspects: estimation errors, decomposition into risk factors, and optimization. We describe the advantages and the disadvantages of expected shortfall over VaR. We show that expected shortfall is easily decomposed and optimized while VaR is not. We also show that expected shortfall needs a larger size of sample than VaR for the same level of accuracy.
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Stored only when both papers are in the corpus — 137 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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