代寫:投資組合的風險
EAV或極值理論與Risk風險評估方法的價值形成鮮明對比，當評估交易投資組合的風險時，建議用它來克服VaR的不足（Gencay＆Selcuk，2004）。過去十年來，金融市場的特點是全球市場波動性大且不穩定。雖然股票市場從這種方法中受益很大，但不受使用此方法準確預測不受股票市場影響或依賴股票市場的債券市場的變動。
代寫:投資組合的風險
目前市場的特點是包括衍生產品，證券和現金在內的多種工具的氾濫;所有這些都與這些公司所在的幾個國家相關聯。運營規模和全球投資組合通常會限制投資組合風險的可見性。在波動的市場情況下常見的風險建模技術包括歷史模擬，GARCh和Var-Cov（方差 – 協方差）方法（Gencay等，2003）。雖然風險價值有助於了解覆蓋風險的資本要求，但EVT在估計發生給定投資組合可能發生的最大可能極端風險的可能性方面發揮更為重要的作用。
代寫:投資組合的風險
EAV or Extreme Value Theory is a sharp contrast from the value at Risk method of risk assessment and is recommended for overcoming the shortfalls of VaR, when evaluating the risk of a trading portfolio (Gencay & Selcuk, 2004). Financial markets in the past decade have been characterised by high levels of volatility and significant instabilities across global markets. While stock markets benefit greatly from this approach, the movement of bond markets which are not affected by or dependent on stock markets cannot be accurately predicted using this approach.
代寫:投資組合的風險
The presently markets are characterized by a proliferation of several instruments including, derivatives, securities and cash; all linked to several countries in which these companies are operating. The magnitude of operations and the global portfolio often limits the visibility of portfolio risk. The commonly used risk modelling techniques that are seen in volatile market conditions include historical simulation, GARCh and Var-Cov (Variance- Covariance) method (Gencay, et al., 2003). While VaR helps in knowing the capital requirements of covering risk, EVT plays a more fundamental role in estimating the possibility of the occurrence of the maximum possible extreme risk that may occur with a given portfolio.
