FRM冲刺资料
frm 复习资料

frm 复习资料Frm 复习资料随着金融市场的不断发展和全球化程度的提高,金融风险管理日益成为金融从业人员必备的技能。
金融风险管理师(FRM)考试成为了评估金融风险管理能力的国际性认证考试。
为了备考FRM考试,考生们需要准备大量的复习资料。
复习资料在备考过程中起到了关键的作用。
它们不仅提供了必要的知识和理论,还能帮助考生们了解考试的内容和考题类型,提高他们的解题能力和应试技巧。
因此,选择合适的复习资料对于备考FRM考试至关重要。
首先,备考FRM考试需要有一本权威的教材。
FRM考试的内容十分广泛,涵盖了金融市场、风险管理、投资组合、衍生品等多个领域。
一本好的教材能够系统地介绍这些知识点,并提供实例和案例分析,帮助考生们更好地理解和掌握知识。
同时,教材还应该有详细的目录和索引,方便考生们查找和复习。
除了教材,备考FRM考试还需要有一些练习题和模拟试题。
练习题能够帮助考生们巩固和应用所学知识,模拟试题则能够帮助考生们熟悉考试的题型和时间限制。
练习题和模拟试题应该涵盖FRM考试的各个知识点和难度级别,以帮助考生们全面复习和提高解题能力。
此外,备考FRM考试还可以参加一些培训班或者线上课程,这些课程通常会提供一些额外的练习题和模拟试题,以及讲解和答疑服务,帮助考生们更好地备考。
除了教材和练习题,备考FRM考试还可以参考一些辅助资料。
比如,一些FRM 考试的历年真题和答案解析可以帮助考生们了解考试的难度和命题风格,有针对性地进行复习。
此外,一些专业的参考书籍和研究报告也可以提供更深入的理论和实践知识,帮助考生们更好地理解和应用所学知识。
在备考FRM考试的过程中,考生们还需要合理安排时间和复习计划。
复习资料的选择和使用应该与考生的实际情况相结合。
考生们可以根据自己的基础和时间安排,选择合适的教材和练习题,并制定科学的复习计划。
复习计划应该合理分配时间,充分利用碎片时间进行复习,同时保持良好的复习习惯和心态。
总之,备考FRM考试需要充分准备复习资料。
frm考试准备材料

frm考试准备材料
准备材料是为了帮助考生高效备考,以下是一些可能有助于准备frm考试的材料建议:
1. FRM官方教材:FRM考试的教材是考生备考的主要参考资料,由FRM官方出版,并且与考试内容完全匹配,建议购买最新版本的教材。
2. FRM学习指南:学习指南是一份对FRM考试重点知识点的总结和梳理,可以帮助考生更好地理解和掌握考试内容。
3. 题库和模拟试题:通过做题可以提高对知识点的理解和应用能力,因此建议购买一些FRM考试相关的题库和模拟试题,对不同考点进行有针对性的练习。
4. 高质量的教学视频或课程:有些考生可能需要更直观详细的讲解和例题演练,可以通过购买或观看一些在线教学视频或课程来进行学习。
5. 网络资源和论坛:在备考过程中,可以参考一些免费的网络资源,如FRM考试相关的博客、论坛等,可以交流经验和学习资料。
6. 复习计划和进度安排表:合理的复习计划和进度安排表可以帮助考生分配好备考时间,按部就班地进行复习。
7. 预习和复习笔记:在学习过程中,可以做一些预习和复习笔
记,有助于加深对知识点的记忆和理解。
8. 参加培训班或辅导班:如果考生觉得自己无法独立备考,可以考虑参加一些培训班或辅导班,有专业的老师辅导可以更好地帮助备考。
请注意,以上建议仅供参考,考生可以根据自己的需求和情况进行合理选择和调整。
此外,也可以参考FRM官方网站上的相关推荐材料。
FRM一级考前最后一套题含答案

8. A risk manager is estimating the 1-day 95% VaR on a domestic equity portfolio
using a 100-day lookback period. The mean return, estimated from the historical
2. A bank uses a 4-grade scale for its internal credit model. The 1-year rating
transition probabilities for this model are given by:
Rating To
Rating From
D. Neither March 12 nor March 13
6. Bond A and Bond B have the same rating and the same probability of default. It is also estimated that: The probability that both Bond A and Bond B will default during the next year is 10%; If Bond A defaults next year, there is a 50% probability that Bond B will also default.
A
B
C
D
A
92% 8% 0% 0%
B
8% 81% 8% 1%
C
0% 5% 80% 15%
D
0% 0% 0% 100%
If a newly issued bond is rated “A” by this model, what is the probability that it will
备考FRM需要哪些教学资料

专注国际财经教育
备考FRM需要哪些教学资料
FRM对数学的要求还是挺高的,毕竟都是讲风险的,这部分的话,概率的东西比较多,所以你在学高数的时候这部分的东西要多多的练习。
FRM的话每年的5月和11月的第三个周末考试的,上下午分别是part1和part2,可以一次性考,但是个人建议分开考,因为如果你的part1不通过的话,你的part2 的成绩也就作废了,报名费不便宜啊,所以分开考相对来说比较好。
FRM复习的话最好是看是handbook,这是考生最多用的复习用书,而NOTES由SCHWESER公司根据FRM 考纲编写的简写本,根据考纲一条一条进行编写,基本上包括了考试中的所有考点,但也由于逐条编写的原因缺乏一定的逻辑性和条理性。
比较方便考生在考试复习时查阅。
报名的时候可以买的。
FRM总复习计算题型汇总

6
3. Tracking error, Information ratio, Sortino ratio
Tracking error(跟踪误差):组合偏离基准收 益的标准差 Information ratio(信息比率):相对于基准的超 额收益除以跟踪误差 Sortino ratio:相对于基准(最低要求)的超额收 益除以下方标准差
9
4. APT模型之运用 计算Excess return
An analyst believes equity prices are completely explained by the market risk premium, earnings growth, earnings yield (E/P), and the dividend payout ratio (D/E). The analyst uses beta to represent exposure to the market risk premium and standardizes earnings growth, earnings yield, and the dividend payout ratio. The analyst's forecasted factor returns are as follows: Market risk premium = 3% Earnings growth = -2% Earnings yield = 2% What is the expected excess return for a stock with the following factor exposures? Beta = 1 Earnings growth = -0.5 Earnings yield = 0.5 E(R) = (0.03 × 1) + (-0.02 × -0.5) + (0.02 × 0.5) = 0.05%
frm练习题

frm练习题FRM练习题FRM(金融风险管理师)是金融行业中备受认可的专业资格认证之一。
持有FRM资格的人员通常具备深厚的金融知识和风险管理技能,能够在金融市场中有效地识别、评估和管理各种风险。
为了通过FRM考试,考生需要进行大量的练习题训练,以提高自己的理论水平和解题能力。
练习题是FRM考试中的重要组成部分,它们涵盖了金融市场、投资组合、风险度量和管理等各个方面的知识点。
通过解答练习题,考生可以巩固自己的理论知识,加深对各个概念和模型的理解,同时也可以熟悉考试的题型和难度。
在解答练习题的过程中,考生还可以发现自己的知识盲点和薄弱环节,有针对性地进行学习和提高。
FRM练习题通常分为选择题和论述题两种类型。
选择题是考生从给定的选项中选择正确答案的题目,它们可以帮助考生迅速掌握和记忆各个知识点。
选择题的解答过程需要考生对概念和模型有较好的理解,同时还需要一定的计算能力和逻辑思维能力。
论述题则要求考生详细阐述问题的解决思路和方法,并给出合理的论证和解释。
论述题的解答过程需要考生具备较强的分析和推理能力,能够将理论知识与实际情况相结合,形成自己的见解和观点。
解答FRM练习题需要一定的时间和耐心。
考生可以根据自己的时间安排,每天抽出一定的时间进行练习题的训练。
在解答练习题时,考生可以先尝试自己独立解答,然后再对照答案进行核对和分析。
对于解答错误的题目,考生应该仔细分析自己的错误原因,并进行相应的知识补充和巩固。
此外,考生还可以参考一些解题技巧和方法,提高解题的效率和准确性。
除了进行练习题的训练,考生还可以参加一些模拟考试和讲解课程,提高自己的应试能力和解题技巧。
模拟考试可以帮助考生熟悉考试的时间限制和答题方式,提前感受考试的紧张氛围,从而更好地应对实际考试。
讲解课程则可以帮助考生理解和掌握各个知识点,解答疑惑,提高解题能力。
练习题的数量和难度是考生进行备考的重要参考指标。
考生可以根据自己的实际情况选择适合自己的练习题集,进行有针对性的练习。
frm 考试 备考材料

frm 考试备考材料
备考FRM考试,可以从以下几种材料中挑选:
1. GARP协会提供的考纲。
2. GARP协会考纲上所列的原版书。
这些书籍覆盖了所有的知识点,有助于考生正确理解考纲所考的知识点。
3. GARP协会推荐的Handbook。
这本书能够将知识点浓缩提炼,内容简洁,适合有相关知识背景和实务工作经验的考生,适用于考前强化复习使用。
4. 培训机构Kaplan制作的Notes。
这些资料完全根据考纲进行讲解,知识点覆盖全面。
5. GARP每年提供的模拟题,即Practice Exam。
建议有时间的话从07、
08年开始都要做,感受一下。
6. Kaplan制作的模拟题,即Notes Exam。
这些题目有一定难度,有时间
也可以做一下。
7. 金程FRM课程。
这是一个根据优良学习方案模型,量身定制精细学习方案的服务系统,按照不同学习阶段应该达到的阶段性学习目标,制定专属学习方案。
此外,还有FRM Exam Part I Books和FRM Exam Part II Books等官方
资料,涵盖了FRM考试的所有知识点,内容比较全面。
请注意,不同的备考材料各有优缺点,考生应结合自身实际情况进行选择。
同时,合理安排FRM备考时间也是通过考试的关键因素之一。
2023frm二级考纲

2023frm二级考纲1.金融市场与产品1.1金融市场的分类和功能1.2金融产品的种类和特点1.3金融市场的组织和参与者1.4金融市场中的交易和定价1.5近期金融市场的发展和趋势2.金融机构与风险管理2.1商业银行的业务和风险管理2.2证券公司的业务和风险管理2.3保险公司的业务和风险管理2.4养老基金和慈善基金的管理2.5金融机构的监管和合规性要求3.投资组合与资产定价3.1投资组合的构建和管理3.2资产配置与资本市场线3.3投资组合的绩效评估和风险控制3.4资产定价模型与市场有效性3.5高级资产定价模型的探讨4.风险管理与衍生品4.1风险管理的基本理论和方法4.2量化风险的测度和分析4.3风险度量模型与价值-at-Risk 4.4风险管理策略与工具4.5衍生品的种类和应用5.信用风险与市场风险5.1信用风险的概念和类型5.2信用风险的测度和评估5.3信用风险的管理和控制5.4市场风险的分类和来源5.5市场风险的测度和分析6.操作风险与金融创新6.1操作风险的定义和特点6.2操作风险的测度和控制6.3金融创新与风险管理6.4金融工程产品的设计和定价6.5金融创新对风险管理的影响7.道德与职业规范7.1金融道德与职业道德7.2职业规范与金融监管7.3道德决策与道德风险7.4职业道德的培养与维护7.5道德与职业规范在风险管理中的重要性以上是2023年FRM二级考纲的大纲内容。
该考纲涵盖了金融市场与产品、金融机构与风险管理、投资组合与资产定价、风险管理与衍生品、信用风险与市场风险、操作风险与金融创新以及道德与职业规范等领域的知识点。
考生需要掌握这些知识,以便在考试中取得好的成绩。
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Quantitative Analysis Part 1: ProbabilityBasic probabilityimportant termsrandom variablesoutcomeeventsmutually exclusive eventsexhaustive eventsImportant rulesTotal Probability RuleBay's Rulesunconditional and conditional ProbabilitiesProbability distribution Univariate probability distributionJoint distribution for two random variablesSpecial distributionsUniform distributionBinomial distributionNormal distributionPoisson distributionLognormal distribution the relationship between normal and lognormalT , chi and F distributionthe relationship between distributionsPart 2: Statistic TheoryDescriptive statisticFrequency DistributionMeasures of central tendencyMeanMedianModeThe Expectation of a Random VariableE(cX)=cE(X), E(X+Y)=E(X)+E(Y),E(XY)=E(X)E(Y)Measures of variance and derivationCovariance and correlationChebyshev's inequalitySkewness and kurtosisThe law of large numberSampling TheoryPopulation, sample and parametersCentral Limit TheoremThe Sample Mean and the Distribution of the Sample Mean standard error of the sample meanThe Sample Proportion and the Distribution of the Sample ProportionThe Sample Difference and the Distribution of the Sample DifferenceThe Sample Variance and the Distribution of the Sample VarianceEstimation TheoryPoint Estimatepopulation meanpopulation proportiondifference between the means of two populationsthe properties of an efficient point estimateConfidence interval estimatepopulation mean with known population variancepopulation mean with unknown population variancepopulation proportiondifference between the means of two populationsThe difference between point and confidence interval estimateHypothesis TestingBasic Concepts Null Hypothesis and Alternative HypothesisOne-tail test vs. Two-tail testType I and a Type II error and Significance levelThe p-valueTest Statistic and Critical Value and Decision RuleTest of Single Population MeanTest of Differences between MeansTest of Single Population VarianceTest of Variances DifferenceSummary of Hypothesis TestingRegression and correlationthe standard error of estimate(SEE)Coefficient of Determination(R2), SST, SSR and SSETest of Significance of Regression CoefficientsPredicted value for dependent variableSignificance Test of The Correlation Coefficient1.Quantitative Analysis.mmap - 2007-8-22 -Market Risk 1VaRIntroduction to VaRThe reasons for widespread adoption of VaRDefinition and assumptionsCalculate a single period VaR for single assetPortfolio VaRPortfolio Risk AnalysisDiversified Portfolio VaRIndividual VaRMarginal VaR Use of Marginal VaRIncremental VaRVariance Minimizing Allocation or "Best Hedge"Calculate the Portfolio VaRTwo-Assets Have a Zero CorrelationTwo-Assets Have a Correlation of OneEqually Weighted PortfolioEstimate Component VaRTime Conversion for VaRQuantifying Volatility in VaRThe Stochastic Behavior of ReturnsDeviation from the Normal DistributionFat tailLeft skewedUnstableEstimating Volatilities and CorrelationsStandard Approach Simplification Usually MadeApproaches to Estimate VolatilityARCH(m)RiskMetrics(EWMA)Attractions of EWMAGARCH(p,q)Choose between the ModelsForecasting Correlations Can be More Important that Forecasting VolatilitiesApproaches for Estimate VaRHistorical-based ApproachesParametricRiskMetrics Approach (EWMA Model)GARCH ModelHistorical Standard Deviation ApproachNon-parametricHistoric SimulationMultivariate Density EstimationHybridImplied-Volatility Based Approaches AdvantagesDisadvantagesImplications of Mean Reversion in Returns and Return Volatilityfor Forecasting VaR Over Long Time HorizonsThe Non-synchronous Data ProblemPutting VaR to WorkVaR for DerivativesDifferentiate between linear and non-linear derivativesCalculating the VaR for a Linear DerivativesCalculating the VaR for a non-linear DerivativesDelta-NormalDelta-Gamma-NormalTaylor ApproximationThe Limitation of Taylor ApproximationThe Difference Between Full-revaluation Method and Delta-normal Method forMeasuring the Risk of Non-linear Derivatives VaR MethodsLocal-valuation Delta-NormalComponents of a VaR Model Model ItselfMapping SystemFour Steps to Determining VaRChoosing Primitive Risk Factors Three Qualities of Successful Futures contractsThree Approaches for MappingDelta-Normal Method for Fixed-Income Portfolios Mapping Approaches for Fixed-Income PortfoliosMapping Interest Rate Swap and OptionsDelta-Normal VaR with Linear DerivativesDelta-Normal Method Can Provide Accurate estimates of VaR forMany Types of Financial InstrumentsDerivatives and Option: A Note of CautionBenchmarking a PortfolioFull-valuationHistorical SimulationMonte Carlo SimulationMonte Carlo Simulation Using Single VariableGBMCompute VaR Using Monte Carlo SimulationUsing Monte Carlo Method Value an OptionModels of Interest Rate DynamicsMonte Carlo Simulation Using Multiple Variable Correlation Among the VariableTradeoff btw Speed and AccuracyStructured Monte Carlo (SMC) Approach to Measuring VaRMethods Comparison and Appropriate UsesA Firm-Wide Approach to Risk ManagementVaR and CFaRProject impact on VaR and CFaR VaR impact of Small TradeProject Impact on CFaRAllocating the Costs of CFaR and VaRReducing the Costs of CFaR and VaRReducing the cost of risk for a given level of VaR or CFaRlimitations on project selection and the use of derivativeinstruments as ways to decreaseStress TestingRole of Stress testingPrimary Approaches to Stress TestingScenario AnalysisUnidimensional Scenario AnalysisMultidimensional Scenario AnalysisProspective Scenarios Conditional ScenarioHistorical ScenariosWorst Case Scenario Measure as an Extension to VaRLarge Stress LossesExtreme Value TheoryRole of EVTTwo broad classed of models in EVT Block Maxima ModelsPeaks-Over-Threshold(POT) ModelsTail Size and Time Dependency Clustering AnalysisRisk BudgetDefinitionUse VaR to Design Better Investment GuidelinesBudget Risk across Asset ClassesBudget Risk across Active ManagersMarket Risk 1.mmap - 2007-8-22 -Market Risk 3Forwards and Futures, SwapsDetermination of Forward and Futures PricesA Long(Short) Futures Positions Characteristics of a Futures MarginsMarking-to-Market, Initial Margin and Maintenance Margin Variation MarginRole of the ClearinghouseCost-of-Carry ModelWith No Cash FlowsWith Cash FlowsWith a Continuous Dividend YieldValue of a Forward Contract Forward and Futures ContractsPricing Commodity Forwards and FuturesBasic Equilibrium Formula for Pricing Commodity Forwards and Futures Lease RateCalculating Lease Rate for Commodity Forwards and FuturesDetermine the Contango or Backwardation of Forward Market Using Lease RateCalculate the Forward Price of Commodity with Storage CostsThe No-Arbitrage Bounds for the Forward Price of Commodity when Considering a Convenience YieldThe Factors that Impact the Pricing of Gold, Corn, Natural Gas and Oil Futures Calculate a Commodity SpreadBasis Risk and the Differential between a Strip Hedge and a Stack HedgeHedging Strategies Using FuturesHedging with FuturesA Short Hedge and a Long HedgeBasis RiskDefinitionTypes of Basis RiskOptimal Hedge RatioHedging with Stock Index Futures Rolling a Hedge ForwardInterest Rate FuturesDay Count Conventions T-Bond FuturesU.S Treasury Bond (T-Bond) Futures Contract Conversion Factor Cheapest-to-Deliver BondEurodollar FuturesFutures Contract Convexity AdjustmentFormulate a Duration-Based Hedging Strategy Using Interest Rate Futures Limitations of Using a Duration-Based Hedging StrategySwapsMechanics of Interest Rate SwapsMechanics and Cash Flow of a Plain Vanilla Interest Rate SwapInterest Rate Swap combined with an Existing Asset or LiabilityComparative AdvantageValuing Interest Rate SwapsDiscount RateEquivalent to a Simultaneous Position in Two Bonds or a Series of FRAsCalculate the Value of an Interest Rate SwapCurrency Swaps Mechanics and Calculate the Value of Currency SwapSwap Credit RiskOptionsMechanics of Options MarketsStock Options SpecificationsExpiration Strike PricesMoneyness, Time Value, and Intrinsic Value The Effect of Dividends and Stock Splits Position and Exercise LimitsOption TradingMarginsOther Option-Like SecuritiesProperties of Stock OptionsSix Factors that Affect Option Prices Upper and Lower Pricing BoundComputing Option Value Using Put-Call ParityEuropean and American OptionCall on a Non-dividend-Paying StockEarly Exercise Features of American Call and Put Options Prices of American Call and Put OptionsOption PricingOne-Step Binomial Model Calculate the Value of a European Call or Put Option Hedge RatioAmerican OptionsCalculate the Value of a European Call or Put Option Using a Two-Step Binomial ModelThe Black-Scholes-Merton ModelBinomial Model Value Converges AssumptionsValue of a European Option Using BSM Model BSM Model with DividendsUse BSM Model to Estimate Future VolatilityThe Greek LettersNaked Position and Covered PositionStop-Loss Trading StrategiesDeltaOptimal HedgeOptimal Duration Hedges Delta-Neutral HedgesThetaGamma Vega RhoScenario Analysis Portfolio InsuranceOption StrategiesA Covered Call or A Protective Put StrategySpread Strategy Combination StrategyVolatility SmileVolatility Smile for Foreign CurrencyVolatility Smile for Equities Volatility Smile with Price JumpComplex DerivativesExotic DerivativesUse of PackagesVarious Option Characteristics Can Transform Standard American Options into Nonstandard American Options Forward Start Options Compound OptionChooser Option Barrier Option Binary OptionLookback Option Shout Option Asian Option Basket OptionsIssues in Hedging Exotic OptionsCosts and Risks of Alternative Types of Options for Hedging Financial Intermediaries that Sell Complex DerivativesFinancial Engineering and Innovations in Derivatives Securities with Embedded DerivativesSelecting Derivatives Hedges to Maximize Firm Value- -Investment and Risk Management Portfolio ManagementPortfolio TheoryRisk and Return of Portfolios of Risky AssetsThe Efficient Frontier and the Capital Market LineThe Security Market Line (SML)Market EfficiencyCreating Firm ValueHedging Strategies and Firm ValueStrategies that Reduce the Firm's Diversifiable Risk Do Not Increase Firm ValueDifferentiate btw. Firm Strategies and Policies to Reduce the Firm's Systematic RiskHedging a Firm's Price Risk with Respect to Its Output Will Not Affect Firm ValueWays to Increase the Firm ValueReducing the Potential Costs of Financial Distress and BankruptcyReducing the Volatility of Taxable IncomeReducing the Weighted Average Cost of CapitalReducing Diversifiable RiskImproving Management IncentivesReducing Probability of Debt OverhangReducing Information AsymmetriesPerformance AnalysisMeasures of PerformanceTreynor Measure, the Sharp Measure, and Jensen's AlphaExtensions to Jensen's AlphaTracking Error, The Information Ratio, and The Sortino RatioMeasuring Performance with Multifactor ModelsComparison of Approaches Explicit and Implicit Factor Methods for Determining Factors in Multifactor ModelsThree Categories of Multifactor ModelsApplication of Multifactor Portfolio Risk AnalysisPortfolio Performance DecompositionReturns vs.Protfolio-Based Style AnalysisManaging the Risk of Bond PortfoliosModeling the Yield Curve Yield to Maturity MethodZero-Coupon Rate MethodAnalyzing Bond Portfolio PerformanceHedge Fund ManagementHedge Fund ClassificationsEquity Long/Short StrategiesEquity Market Neutral StrategiesEquity Market Timing StrategiesShort-Selling StrategiesConvertible Arbitrage StrategiesFixed-Income Arbitrage StrategiesVolatility Arbitrage StrategiesCapital Structure Arbitrage StrategiesEvent-Driven StrategiesMerger Arbitrage StrategiesDistressed Securities StrategiesRegulation D StrategiesGlobal Macro StrategiesManaged Futures StrategiesFund of Hedge FundsHedge Fund BenchmarksAlpha Returns ChallengesHedge Fund IndicesProblems with Existing Hedge Fund IndicesAttributes of A Good Hedge Fund IndexCreating A More Useful Hedge Fund IndexThe Risk in Fixed-Income Hedge Fund StrategiesConvergence Trading Strategy andTrend-Following Strategy Strategies Using OptionsFive Primary HFR Fixed-Income Index CategoriesActual and Hypothetical Performance of Fixed-Income Hedge FundsDuring Market ExtremesFixed-Income Hedge Fund Asset-Based Style (ABS)Hedge Fund RisksTypes of RiskPrimary Risk FactorsThe Role of LeverageHedge Fund TransparencyProactive Risk Management Asset AllocationDue DiligenceRisk Monitoring and Management Investment LevelPortfolio LevelInvestment StyleStyle DriftDefinitionReasons for Style DriftApproaches for Monitoring and Detecting Style DriftHedge Fund DevelopmentsHedge Funds and Mutual FundsThe Economic Function and Most Basic ChoicesSizeHow Hedge Funds are Usually OrganizedSymmetric Compensation and Asymmetric CompensationWithdrawing CapitalHedge Fund DiversificationHedge Funds Might Make Markets More EfficientHedge Fund Returns and VolatilityGauging Hedge Fund PerformanceAlpha of Hedge FundsRisk ConsiderationsThe Future of Hedge Funds InstitutionalizationRegulationTrends in Hedge Funds and Mutual Funds- -Credit Risk MeasurementDefault RiskRating ExternalInternalLoanIndividual Loan Credit RiskGross Rate Of ReturnMarginal Default ProbabilityCumulative Default ProbabilityCredit DevilingLoan Portfolio Credit RiskRecovery Rate and Recovery FunctionProbability Default And Loss Given DefaultOthersCredit Scoring ModelsLinear Discriminant AnalysisParametric DiscriminationK-nearest NeighborSupport Vector MachinesDecision Rules In Credit AnalysisMinimum ErrorMinimum RiskNeyman-PearsonMinimax for ClassificationCounterparty RiskTerms Related to Counterparty Risk / Lending Risk VS Counterparty RiskPotential Future ExposureMean Loss Rate Mean Loss Rate=PD(1-Recovery Rate)Market Value Of Credit RiskOne side(EE*)x(L*)Two side V(B)-V(A)Current Exposure For A Counterparty CEC TCECSimple Transaction Method/Portfolio Simulation MethodCredit Risk Portfolio ModelsMerton ModelsCompute Equity and Debt Value/Firm Value and VolatilitySubordinate Debt/Interest Rate DynamicApplicationKMVCredit MetricsPortfolio ManagerPortfolio Risk trackerCredit Portfolio ViewCreditRisk+Sovereign RiskDifference Between Credit and Sovereign RiskDebt Repudiation And Debt ReschedulingCountry Risk Analysis (CAR) ModelAddress Sovereign RiskManagementLoan SalesIntroductionMarket Participation VS. AssignmentThe Buyer and The SellerSecuritizationIntroduction DefinitionParticipantsSecuritization Guidelines FAS140FIN46RInternal and External Credit Enhancementsliquidity Risk/Interest RiskMBSCredit DerivativesTypes of Credit DerivativesCredit Default Swaps Default Events of ISDATotal Rate Of Return SwapsCredit Spread Option And ForwardSynthetic Structures Credit-Linked NotesCollateralized Debt ObligationsApplication Of Credit DerivativesApplicationHedgeMarket RiskCredit RiskOperational RiskCost ReductionUsing a TRORUsing Credit Spread OptionsUsing RepoUsing Other Credit DerivativesArbitrageUsing Default SwapsUsing TRORsUsing Credit Spread OptionsBasel II Risk Weights Using Default Swaps to Reduce Capital RequirementsManagementVaR For OptionsCARPortfolio CAR4.Credit Risk.mmap - 2007-8-22 -Operation Risk Define and Measuring Operation RiskDefine Operation RiskBIS definitionModel RiskDefinitionSourcesIncorrect Model SpecificationIncorrect Model ApplicationImplementation RiskCalibration ErrorProgramming ErrorsData ProblemsManaging Under the Efficient Market HypothesisOutside Of the Efficient Market HypothesisTechnology Risk Technology On Revenues and CostsEconomic Of Scale and ScopeDaylight Overdraft RiskMeasuring Operational RiskHFLS and LFHSTop DownMultifactor ModelsIncome-Based ModelsExpense-Based ModelsOperating Leverage ModelsScenario AnalysisRisk Profiling ModelsBottom-upCausal NetworksConnectivity ModelsReliability ModelsEmpirical Loss DistributionsParametric Loss DistributionsExtreme Value TheoryOperation Risk ManagementEvolutionOperational Risk HedgingInsuranceSelf-InsuranceDerivatives Catastrophe Options and Catastrophe BondsLimitsBasel II RelatedBasic Indicator ApproachThe Standardized ApproachInternal Measurement ApproachOperational Risk and Economic CapitalLoss DataTail-Adjust Normal Distribution Binomial and Poisson DistributionsModels For Determining OpRisk Economic CapitalCase StudiesMetallgesellschaftSumitomo BankLong-Term Capital ManagementBankruptcy Of BarringsThe Amarranth DebacleBest Practices for Risk managementEnterprise Risk ManagementThe Value Of Reducing Corporate Diversifiable RiskDetermining The Optimal Amount Of Corporate RiskThe Conceptual Framework For ERMThe Counterparty Risk Management Policy Group II ReportIntroductionThe common Traits Associated With Past Major Financial ShocksRecommendationsSupervisory ChallengesPrivate Pools of Capital-PWGKey PrinciplesPrinciples For Protecting InvestorsPrinciples For Reducing Systemic Risk- -。