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ESTIMATION OF MAXIMUM AVERAGE LOSS FOR INVESTMENT POSITION IN FUTURES OF THE ATHENS DERIVATIVES EXCHANGE MARKET.

 

By Dr COSTAS KYRITSIS                                              By APOSTOLIS KIOHOS

University of Portsmouth UK                                       (Msc in Risk Management and

Department of Computing and                                   Insurance)

Maths

and

Software Laboratory

National Technical University

of Athens

 

 

                                                Abstract

In this paper we discuss the risk of mark-to-market  loss of positions with leverage, of infinite horizon, in futures. We make the usual assumptions of Lognormal distribution and geometric Brownian motion, for the underlying  as in the Black-Scholes options pricing model. With these assumptions  we estimate the tables of  required liquidity for futures on FTSE-20 and FTSE-40 in the Athens Derivatives Exchange Market and the maximum average Loss of infinite horizon investment positions in Derivative Exchange Market.

Key words

Derivatives, Geometric Brownian Motion, Stochastic Differential Equations, Simulation, Investment, Liquidity

 

§1 Introduction  Since August 1999 the Athens Derivative Exchange Market (ADEX) introduced for  the first time futures on the Index FTSE-20, and soon afterwards on the Index FTSE-40. The peculiarities and risks of investing to futures are not quite clear to the present average investor. In a first publication [Kyritsis C (2001)] we analyzed the required Liquidity of finite horizon investments in futures. We made use of the conditional volatility.

 

In this paper we analyze the liquidity requirement of infinite horizon investments from the point of view of average maximum loss. Of course the investments in Derivatives have always an expiration date. But putting an infinite horizon in the investment makes calculations simpler and at the same time the real risk is less or equal to the estimated so it is always safer for more risk averse decision makers.

The main idea is that it should always be possible to pay the average maximum loss besides the margin reservations. So an estimate of an average maximum loss, given a margin percentage, leads directly to a liquidity percentage. The method of average maximum loss is simpler to calculate, to understand and apply, than the method of conditional volatility.

 

§2 Leverage and bankruptcy of positions in Futures

When investing in positions on futures we do not pay all the money of the investment.

Instead it is calculated daily the profit or loss of the investment position (called mark-to-market) and is paid by the investors and Brokerage Companies to an appropriate clearance bank (Alpha Credit Bank). In addition it is paid a percentage only of the height of the position, as much as it is considered it is risked for 1-2 days for ADEX to close the position, if anything goes wrong (default position). The percentage is estimated according to the volatility (standard deviation) of the daily percentage changes of the underlying Index and is called Margin . This percentage at present is 12% for the futures.(March 2001). This makes an advantage for the investor as he must only pay 12% of the height of a position when he opens it. This is called the leverage of the position and is a multiplier of 1/12%=8.33 times. Of course not only the rate of return is multiplied with this numbers but also the Beta (or Elasticity) of the position. The advantage of leverage has also its drowbacks and risks. The profit or loss is paid daily on 100% of the height of the position and in a reverse trend of the market can easily lead to bankruptcy, something not really possible with investment positions in securities.

 

§3 Average maximum Loss of an Investment Position.

 

In order to estimate the average maximum loss  we have to assume a model of the underlying Index, and  the correlation and coupling of the future with the underlying Index.

We shall proceed in a way that is standard in the pricing of Derivatives and is also used by ADEX in the estimation of the percentages of 12% for the margin. We shall assume a neutral market, neither growing neither decaying, but with a trend equal to the risk free rate (2% in a year base, at present March 2001). So the model of the underlying index is, as in the Black-Scholes option pricing model, a Geometric Brownian Motion (continuous time random compound interest) of normally distributed rate r and volatility ó. For the definition of the stochastic differential equations and the geometric Brownian motion see Oksental p121 Chpt. V p 60 ,exerc.7.9 ,p 121,example 5.1 p 60

The stochastic differential equation of Brownian motion (Ito interpretation)  is:

 

                                                                (1)

The exact interpretation of the symbols requires the concepts and definitions of stochastic Integrals and is outside the scope of this paper. For the definitions see Oksental 1995.

 The distribution of the prices Xt is Lognormal.

The solution of this stochastic differential equation is given by the formula:

                                                   (2)

where Bt is a Brownian Motion

The logarithm of this process Xt/ X0  is an ordinary Brownian motion with drift:

log(Xt/ X0)=(r-(1/2) s2)t + s Bt .                                                   (3)

The average time T that it reaches X for the first time starting from x0 

Is T=log(X/ x0)/(r-(1/2) s2)                                                                   (4)

 

If  â is the beta (elasticity)  of the future Yt over the index Xt we  assume that the futures also, follows the equation

                                                                      (5)

 

If l is the leverage of the investment the value of the investment position on the future follows  the equation

 

                                                                     (6)

 

 

The way to estimate the average maximum loss of the investment is the following:

We shall make use of a theorem on the Brownian motion that can be found in

[Karlin S.-Taylor H.(1975)] Corollary 5.1 Chapter 5 p 361.

The Theorem goes like this:

Let X(t) be a Brownian motion process with drift ì >0. Let

                             W=max(X(0)-X(t)). For all t>=0.              (7)

The W has exponential distribution

                             Pr(W>w)=exp(-ëw),  w>=0                      (8)

Where ë=(2|ì|)/(ó2)                                                             (9)

 

The formula (3) above shows that the logarithm of the prices of the future follows a Brownian motion with (let us say positive) drift

(r-(1/2) s2)

Therefore the average maximum downward deviation of the logarithm is

s2 /(2*|(r-(1/2) s2)|)                              

                                                                                                (10)   

As the logarithm is a monotonous function (respecting order) and the average of a logarithm is the logarithm of the average, the average downward deviation of the price of the underlying in other words the average maximum loss of the underlying is (referring to formula 2 above)

 

X0exp(s2 /(2*|(r-(1/2) s2)|))                                                        (11)

Thus we get the next statement

 

Theorem A

The average maximum loss as a percentage is

|1- exp(s2 /(2*|(r-(1/2) s2)|))|                                           (12)

 

 

 

         

 

 

 

 

§4 Tables of Average Maximum Loss.

 

In the next tables we have calculated the rate ,volatility  for a 30 days sample of the  index ftse-20 and consequently the average maximum loss and liquidity percentage (or percentage to invest) for Long or short positions for a period of 43 days during  2001. (We assume â=1 for the futures on them).In the calculations we do not consider the leverage of the positions in the futures. The percentage to invest is defined by the assumption that the average maximum loss should be kept in cash . So if the average maximum loss is say 40%,  as the margin now (2001) is a 12%  , then the percentage to keep in cash is 40%/(12% +40%) and the percentage to invest therefore is 60%/(12%+40%).

 

Date

Unsystematic Risk

BETA for 30 days

Average rate for 30 days

Variance of General index

Daily Variance of Ftse

AverageMaximumLoss

Percentage to Invest

Year Volatility of Ftse

3/1/2001

0,0002

1,1952

-0,026

0,0005

0,000854

37,8118%

24,09%

0,461946

4/1/2001

0,0002

1,1885

-0,027

0,0005

0,000835

37,6409%

24,17%

0,456838

5/1/2001

0,0002

1,1885

-0,027

0,0005

0,000835

37,6409%

24,17%

0,456838

8/1/2001

0,0002

1,2338

-0,028

0,0005

0,000944

45,5163%

20,86%

0,485736

9/1/2001

0,0002

1,2509

-0,029

0,0005

0,000975

50,2929%

19,26%

0,493766

10/1/2001

0,0002

1,257

-0,03

0,0005

0,000954

49,9603%

19,37%

0,488253

11/1/2001

0,0003

1,1246

-0,03

0,0006

0,001084

59,1191%

16,87%

0,520627

12/1/2001

0,0003

1,1065

-0,03

0,0006

0,001059

56,6757%

17,47%

0,51456

15/1/2001

0,0003

1,1506

-0,03

0,0007

0,001224

68,4562%

14,91%

0,553205

16/1/2001

0,0003

1,1606

-0,029

0,0007

0,00124

69,2779%

14,76%

0,556877

17/1/2001

0,0003

1,1309

-0,029

0,0006

0,001048

55,6878%

17,73%

0,511829

18/1/2001

0,0002

1,1485

-0,031

0,0006

0,00091

48,9313%

19,69%

0,476949

19/1/2001

0,0002

1,1549

-0,031

0,0006

0,000907

49,5285%

19,50%

0,47631

22/1/2001

0,0013

0,0576

-0,032

0,0006

0,001275

78,7285%

13,23%

0,564572

23/1/2001

7E-05

1,3764

-0,032

0,0004

0,000872

49,1165%

19,63%

0,466904

24/1/2001

7E-05

1,3704

-0,035

0,0004

0,000857

52,6611%

18,56%

0,462762

25/1/2001

0,0001

1,3017

-0,035

0,0004

0,00085

52,8936%

18,49%

0,460912

26/1/2001

0,0001

1,2687

-0,036

0,0004

0,000834

53,1531%

18,42%

0,456526

29/1/2001

0,0002

1,2655

-0,037

0,0004

0,000816

53,7830%

18,24%

0,451718

30/1/2001

0,0002

1,2636

-0,038

0,0004

0,000843

57,4241%

17,29%

0,459009

31/1/2001

0,0002

1,1922

-0,039

0,0005

0,000902

64,1609%

15,76%

0,474985

1/2/2001

0,0002

1,1714

-0,039

0,0005

0,000879

62,3608%

16,14%

0,468833

2/2/2001

0,0002

1,1765

-0,04

0,0005

0,000898

65,9084%

15,40%

0,473774

5/2/2001

0,0002

1,2137

-0,039

0,0005

0,000937

68,0976%

14,98%

0,484022

6/2/2001

0,0002

1,201

-0,038

0,0005

0,000969

69,0006%

14,81%

0,492119

7/2/2001

0,0002

1,207

-0,038

0,0005

0,000973

69,1451%

14,79%

0,493107

8/2/2001

0,0003

1,1904

-0,039

0,0005

0,000979

71,1249%

14,44%

0,494666

9/2/2001

0,0003

1,1763

-0,04

0,0005

0,000979

73,9884%

13,96%

0,494813

12/2/2001

0,0003

1,173

-0,04

0,0005

0,001047

81,2309%

12,87%

0,511608

13/2/2001

0,0003

1,168

-0,04

0,0005

0,001042

81,8545%

12,79%

0,510414

14/2/2001

0,0004

1,1669

-0,041

0,0005

0,001083

87,6833%

12,04%

0,520409

15/2/2001

0,0004

1,1851

-0,04

0,0005

0,001078

85,4915%

12,31%

0,519044

16/2/2001

0,0004

1,15

-0,041

0,0005

0,000996

78,0027%

13,33%

0,499067

19/2/2001

0,0004

1,1568

-0,025

0,0005

0,00098

42,1816%

22,15%

0,495096

20/2/2001

0,0004

1,1319

-0,053

0,0005

0,00099

110,0591%

9,83%

0,497466

21/2/2001

0,0004

1,3202

-0,053

0,0003

0,000898

95,8285%

11,13%

0,473785

22/2/2001

0,0003

1,3257

-0,053

0,0003

0,000829

86,7790%

12,15%

0,455127

23/2/2001

0,0003

1,3502

-0,053

0,0002

0,000732

74,0986%

13,94%

0,427887

27/2/2001

0,0003

1,3861

-0,054

0,0002

0,000783

81,4854%

12,84%

0,442465

28/2/2001

0,0003

1,3574

-0,054

0,0002

0,000731

75,3731%

13,73%

0,427452

1/3/2001

0,0003

1,3592

-0,055

0,0002

0,000726

76,2499%

13,60%

0,426166

2/3/2001

0,0003

1,4426

-0,055

0,0002

0,000762

80,4376%

12,98%

0,43642

5/3/2001

0,0003

1,5486

-0,056

0,0002

0,000777

85,2209%

12,34%

0,440694

 

 

 

 

 

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