11Nov/090
FRM(25)STRESS TESTING AND OTHER
把这本书的最后几个都搁在这把,明天有事,现在困了。
stress testing。
foreign exchange risk
var cfar
cashflow risk
CFAR NPV
Demand and supply
这些章节都是讲的东西多,但是计算相对要少些,不过那些鸟概念和计算公式够自己喝一壶了,写写题。看看书。
到这里,基本上我学的东西快没了。后面的各种risk的课程我好像都没有选,我自己给自己定位是quant所以就没怎么学这种市场的东西,模型之类的我能接受,其余的东西就没有怎么学了。不能总是说看书写题了,之后的那些我得好好串串了。
11Nov/090
FRM(24)var
In
financial mathematics and
financial risk management, Value at Risk (VaR) is a
widely used risk
measure of the risk of
loss on a specific portfolio
of financial assets. For a given portfolio, probability
and time horizon, VaR is defined as a threshold value such that the
probability that the
mark-to-market loss on the portfolio over the given time
horizon exceeds this value (assuming normal markets and no trading
in the portfolio) is the given probability level.[1]
financial mathematics and
financial risk management, Value at Risk (VaR) is a
widely used risk
measure of the risk of
loss on a specific portfolio
of financial assets. For a given portfolio, probability
and time horizon, VaR is defined as a threshold value such that the
probability that the
mark-to-market loss on the portfolio over the given time
horizon exceeds this value (assuming normal markets and no trading
in the portfolio) is the given probability level.[1]
For example, if a portfolio of stocks has a one-day 5% VaR of
$1 million, there is a 5% probability that the portfolio will fall
in value by more than $1 million over a one day period, assuming
markets are normal and there is no trading. Informally, a loss of
$1 million or more on this portfolio is expected on 1 day in 20. A
loss which exceeds the VaR threshold is termed a “VaR
break.”[2]
$1 million, there is a 5% probability that the portfolio will fall
in value by more than $1 million over a one day period, assuming
markets are normal and there is no trading. Informally, a loss of
$1 million or more on this portfolio is expected on 1 day in 20. A
loss which exceeds the VaR threshold is termed a “VaR
break.”[2]
VaR has five main uses in finance:
risk
management, risk measurement, financial control,
financial reporting and computing regulatory
capital. VaR is sometimes used in non-financial applications as
well.[3]
risk
management, risk measurement, financial control,
financial reporting and computing regulatory
capital. VaR is sometimes used in non-financial applications as
well.[3]
Important related ideas are economic
capital, backtesting,
stress
testing and expected
shortfall.[4]
capital, backtesting,
stress
testing and expected
shortfall.[4]
Details
Common parameters for VaR are 1% and 5% probabilities and one
day and two week horizons, although other combinations are in
use.[5]
day and two week horizons, although other combinations are in
use.[5]
The reason for assuming normal markets and no trading, and to
restricting loss to things measured in
daily accounts, is to make the loss observable.
In some extreme financial events it can be impossible to determine
losses, either because market prices are unavailable or because the
loss-bearing institution breaks up. Some longer-term consequences
of disasters, such as lawsuits, loss of market confidence and
employee morale and impairment of brand names can take a long time
to play out, and may be hard to allocate among specific prior
decisions. VaR marks the boundary between normal days and extreme
events. Institutions can lose far more than the VaR amount; all
that can be said is that they will not do so very
often.[6]
restricting loss to things measured in
daily accounts, is to make the loss observable.
In some extreme financial events it can be impossible to determine
losses, either because market prices are unavailable or because the
loss-bearing institution breaks up. Some longer-term consequences
of disasters, such as lawsuits, loss of market confidence and
employee morale and impairment of brand names can take a long time
to play out, and may be hard to allocate among specific prior
decisions. VaR marks the boundary between normal days and extreme
events. Institutions can lose far more than the VaR amount; all
that can be said is that they will not do so very
often.[6]
11Nov/090
FRM(23) TERM STRUCT
其实这一章,我上的时候还是上的一塌糊涂的,现在想起来应该是讨厌novo上课的风格了。摆着自己很N的样子,弄一大堆的公式,看的我头昏脑胀的。其实很简单的东西,非得讲的很复杂。
现在也不想看着了,什么时候想看再把题目写写就好了。
貌似这个的基本道理和二叉树的差不多的。就是把那个变成数学表示了。
原理比计算重要的东西。不说了
11Nov/090
FRM(21) VERY IMPORTANT(FUTURE BONDS FARWARD)
这里包括了几章,可是大致的东西都是前面讲过的,不过之前讲的比较粗,这里比较细,换句话说,如果是这个内容出的计算得话,基本上就是这些东西了。
commodity forward and futures:
价格的计算办法,无套利机会,convenience yield ,cost of
carry,金的forward,玉米的,天然气的,strip hedge和stack
hedge。东西看着不多,不过没一个其实都有一个自己的说法。应该多看几遍书本了。
carry,金的forward,玉米的,天然气的,strip hedge和stack
hedge。东西看着不多,不过没一个其实都有一个自己的说法。应该多看几遍书本了。
bond price,discount ratio and arbitrage:
这个看起来是最基本的东西了,学这个的很多模型base on
的东西就是bonds的定价,我们平时也经常,不过我好像每回都弄错。多算算吧。
的东西就是bonds的定价,我们平时也经常,不过我好像每回都弄错。多算算吧。
基本的概念就是cash
flow以及基本的discount的算法,没有套利机会在这中间也很重要,关系到一些价格的算法,同一个时间,同一定条件的时候,一个产品只有一个价格。这个价格就是市场价格,这个价格是一个无套利的价格,意味着不论你从什么角度逼近,最后得到的价格应该是一样的。
flow以及基本的discount的算法,没有套利机会在这中间也很重要,关系到一些价格的算法,同一个时间,同一定条件的时候,一个产品只有一个价格。这个价格就是市场价格,这个价格是一个无套利的价格,意味着不论你从什么角度逼近,最后得到的价格应该是一样的。
yield to maturity:(YTM)
还记得开始学的时候觉得YTM是个很乱七八糟的东西,里面动不动就是一个概念,现在看起来也是这样,唯一的不同是基本上这些概念都知道是啥了,知道自己要什么了,怎么算了。重要的还有要学会用计算器来计算这个东西。
以上的一大堆,要一大堆的题目来解决。