Which of the following financial disasters created a situation that resembled a classic Ponzi scheme where artificial profits are shown, but never materialize into actual profits...
备考FRM一级
【FRM每日一题】一级:估值与风险模型
Regarding historical and prospective scenario analysis,which of the following is not wrong..
备考FRM一级
【FRM每日一题】一级:风险管理&定量
The return of portfolio A is 25%, the market risk premium is 13%, the volatility of the market portfolio is 14%, and the risk-free rate is 5.5%. Portfolio A has a beta of 1.5. According to the capital asset pricing model, which of the following statements is true...
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FRM一级模拟试卷(附解析)
FRM考试试题少,题型变化大。希望大家在做题的同时注意总结和思考,这样才能真正提高做题的效用...
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【FRM每日一题】二级:信用风险测量与管理(5)
A portfolio consists of 17 uncorrelated bonds, each rated B. The 1-year marginal default probability of each bond is 5.93%. Assuming an even spread of default probability over the year for each of the bonds, what is the probability of exactly 2 bonds defaulting in the first month...
备考FRM二级
【FRM每日一题】一级:估值与风险模型
Find the statement that interpretes a $10 million overnight VaR figure with 99% confidence level most correctly...
A Canadian-based tire company is due a $2,500,000 SGD payment from its Singapore-based distributor in two months. The firm prepares to use a forward contract priced at $0.80 CAD/SGD to hedge the exchange rate risk. If the Singapore dollar...
备考FRM一级
【FRM每日一题】一级:金融市场&估值
With respect to the effect on the price of a bond, which of the following statements is correct...
Which of the following will lead to fat-tailed asset return distributions...
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【FRM每日一题】二级:风险管理与投资管理(2)
For s portfolio of illiquid assets, hedge fund managers often have considerable discretion in portfolio valuation at the end of each month and may have incentives to smooth returns by marking values below actual in high-return months...
备考FRM二级
【FRM每日一题】二级:案例强化(4)
Saugatuck National Bank uses the internal model-based approach to set market risk capital as prescribed by the 1996 Amendment to the 1988 Basel Accord. The bank has backtested its 99%, one-day VaRs against the actual losses over the last 250 trading days. Based on the results of the backtesting...