Monday, March 16, 2009

RISK MANAGEMENT MODEL BY LI COUPLA AND WHAT TO DO FURTHER?

 First i would like to do briefing about LI’s coupla model (risk management model) and why it failed?

In laymen language, it deals with how much risk is involved while giving any loans or a package of mortgages (started by investment bankers).

This formula is mostly used by all major giant banks and investment companies of world.  Actually what happened is like this when bankers started buying mortgage bonds or so called package of mortgages (mortgage pools) from external companies. They used coupla’s formula which is generally for risk mapping involves in any particular loan but they used for group of loans (here the problem rose).

 Mortgage pools are not as simple as most bonds. There's no guaranteed interest rate, since the amount of money homeowners collectively pay back every month is a function of how many have refinanced and how many have defaulted. There's certainly no fixed maturity date: Money shows up in irregular chunks as people pay down their mortgages at unpredictable times—for instance, when they decide to sell their house. And most problematic, there's no easy way to assign a single probability to the chance of default. All of this makes it much more difficult to calculate risk on mortgage pools and CDOs than on conventional bonds or old-fashioned home loans.

Wall Street "solved" many of these problems through a process called tranching, which divides a pool and allows for the creation of safe bonds with a risk-free triple-A credit rating. Investors in the first tranche, or slice, are first in line to be paid off. Those next in line might get only a double-A credit rating on their tranche of bonds but will be able to charge a higher interest rate for bearing the slightly higher chance of default. And so on.

They took some assumptions-

First was that one loan is not related to others. If one party does not repay the loan then it does not mean that others will also not pay (even in same category).

Second - risk probabilities are may be different for different kind of lenders but we can calculate an average for all (biggest flaw).

Initially this formula was working well because external factors like growth rate n employment which are basically sources of revenues of lenders were doing well. But at last when eventually these externalities stopped helping out, so consequentially realty or flaw of this formula came out.

The CDOs, based on Li's Copula function and created and traded on Wall street, now account for most of the toxic assets that have turned shares of major banks like Citicorp into penny stocks.

 

So what is the solution?

Do we have to go back to conventional banking only?

Do we have any another way rather than stop giving loans to sub-prime lenders?

Now i would like to divide this discussion into two parts-

Small lenders and mid class lenders-

By former i mean lenders which generally lend very small amount of loans and may or may not able to payback.

So the solution to insure that they will repay back is grammen banking model (which i have recently studied) or micro finance companies based on trust and lender’s responsibility. They are having unbelievable repayment rate (95-99%). They have to repay their loan from basic salary only which is not basically hiked up due to undue growth in any sector.

So it makes easier for them to repay loan even in financial crisis. On the another way around crisis would not affect much their income.

Other factor- their total loan amount is not that much big that it would lead to liquidity crisis.

Now come to second part mid class lenders-

In this case expectations are high. They are able to take bigger amount of loans than small lenders because of undue advantage of recently hiked in salaries. But what will happen when these sources will not help them out to repay---- REPOSSESSIONS--- FINANCIAL CRISIS----ETC...

How to save or how to manage?

Open for discussion....

Pass your comment it will make your mind work..

Say anything which comes to your mind kya pta that would be a best solution...

 

 

Tuesday, March 10, 2009

punchlines

AIRLINE                 PUNCHLINE

Austrian Airlines            The most friendly airlines

Cathay Pacific                The heart of Asia

Indian Airlines                Your home in the sky

Singapore Airlines          A great way to fly

Lufthansa                         There is no better way to fly

Jet Airways                      The joy of flying

Air Sahara                        Emotionally yours

Thai Airways                   Smooth as silk

Sri Lankan Airlines         You are our world

British Airlines               It‘s time to change the way you look at things

Friday, March 6, 2009

why crisis comes in to existence??
first problem- mathematical error
because we generally assume that 9.9999 = 10 or as we know that mathematical its possible to prove in this way..
x= 9.9999
10 x=99.9999
9x= 90
x=10

mathematical flaw...

so this small flaw can be a reason of crisis because when we neglect this flaw and think that there is no need to consider .ooooooooooooo1(aprrox.)(again its a flaw). but when dealing becomes hefty then this small approximations does matter. let's say we are dealing in 100 trillions of rupees. if we don't consider this then u can loss some millions.....

so it does matter..
look at this one..( from economics point of view what i have  researched till now)

Example

The market rate of return on the 4.25% govt. bond maturing on 7 March 2036 is currently 3.81% per annum. Let's assume that this can be broken down into a real rate of exactly 2% and an inflation premium of 1.775% (no premium for risk, as government bond is considered to be "risk-free"):

1.02 x 1.01775 = 1.0381

you can ignore the third term (0.02 x 0.01775 = 0.00035 or 0.035%) and just call the nominal rate of return 3.775%, on the grounds that that is almost the same as 3.81%.

nominal rate= real rate + inflation

3.775= 2+1.775

At a nominal rate of return of 3.81% pa, the value of the bond is rs.107.84 per 100 nominal. At a rate of return of 3.775% pa, the value is rs.108.50 per 100 nominal, or 66p more.

The average size of actual transactions in this bond in the market in the final quarter of 2007 was rs. 400 million. So a difference in price of 66p per 100 translates into a difference of 26,40,000 per deal.


on more problem is we have taken lots of assumption n approximations..

so second problem is which variables we have to take as decison variables.( others will be left as constant).


if we take CAPM model, look it carefully which says that-

cost of capital = rf + b(km - rf) ( sorry if there is any problem in formaulla, does not matter)

 linear equation based risk engeering model..

which means if marketing returns increase i.e. km then cost of capital also increase which means expectation also increase. so it means continous growth.. if we consider stock market then it will move like 10 k to 12 k in one month then 12k - 14 k and so on... but is it really possible... think logically


so can we make a prefect model on nonlinear basis??

 no we can never make a prefect model but we can make a good model which better directs banks , investment companies even to governments... 


first we have to indentify all the factors which are important..

that's what we discussed in class...

but think one step ahead..

while creating models, did economists, reseach engineers nvr thought abt imp. variables...

yes they did...( they are not as fool as we are thinking)

but wot's the problem??



"dynamic environment" 

acc. to change in environment we have to make changes in models, again is it possible ansd up to wot extent..( kehna assan hota hai yarr) but if u have a passion then u can do it..


make a model for SEBI which will make sensex, nifty less riskier then foriegn markets... is it possible???


dn't have enough time to write more in bad english...

 so think yourself

(play with psychology)

let me think...

Monday, March 2, 2009

How to decide curiculum for b-school in this dynamic world???

One of the questions that we face now in
business education is, to what extent should we
encourage researchers and students to work with
practice—corporate involvement and case
studies?
I have a simple picture of university education. I
think what you do is get the brightest, smartest,
most discipline-trained people you can get and
you tell them to teach what they think is important
and interesting. And the curriculum consists of the
collection that turns out as a result of that. My
sense is that different good teachers use different
methods. Some of them use cases, some of them
use models, some use field work, some use equations.
And the good ones are scattered all over that
map. And any time you try to make a principle of
doing one or the other, you are almost certainly
wrong. In my “dream business school” there would
be a collection of good scholars, and they would be
the teachers, and what they taught would be the
curriculum. Whatever that would be. If they are
really teachers, they would want to teach what
they genuinely thought these students should
have.