black s bond option valuation formula

WORKING PAPER SERIES ON REGIONAL ECONOMIC INTEGRATION NO. 22: India’s Bond Market— Developments and Challenges Ahead docx

WORKING PAPER SERIES ON REGIONAL ECONOMIC INTEGRATION NO. 22: India’s Bond Market— Developments and Challenges Ahead docx

... prospectus The issue process is reportedly slow, taking several months, which, with high marketing and other costs, makes public issues very expensive The slow process also makes issues risky, as the ... Fiscal Year Source: Reserve Bank of India Public issues are rare because of excessive disclosure requirements—new SEBI proposals are designed to simplify the process Disclosure requirements for ... culture, the skills to assess credit risks, and a willingness to accommodate any but the lowest risk borrowers Overseas investors bought a net USD19.5 billion of stocks and bonds during 2007,...

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An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_13 pot

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_13 pot

... quickly than h Exercise 23.6 asks you to show that BTCS is unconditionally stable, that is, stability in the sense of von Neumann is guaranteed for all ν > This is consistent with Figure 23.7, ... 0 respectively The Nx-1 by Nx-1 array U is used to store the numerical solution; successive columns hold the solution Ui in (23.8) at successive time levels The initial condition is inserted ... this way τ represents the time to expiry and runs from T to when t runs from to T Under this transformation the Black Scholes PDE (8.15) becomes ∂V ∂2V ∂V − σ S2 − r S + r V = (24.1) ∂τ S ∂S...

Ngày tải lên: 20/06/2014, 18:20

22 674 1
An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_14 pot

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_14 pot

... Cambridge University Press Bj¨ rk, Thomas (1998) Arbitrage Theory in Continuous Time Oxford: Oxford University o Press Black, Fischer (1989) How to use the holes in Black and Scholes Journal of ... Models Chichester: Wiley Cochrane, John H (2001) Asset Pricing Princeton, NJ: Princeton University Press Corless, Robert M (2002) Essential Maple Berlin: Springer Cox, John C., Stephen A Ross, ... Rogers, L C G and E J Stapleton (1998) Fast accurate binomial pricing of options Finance and Stochastics, 2:3–17 Rogers, L C G and O Zane (1999) Saddle-point approximations to option prices Annals...

Ngày tải lên: 20/06/2014, 18:20

11 630 1
An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_1 pot

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_1 pot

... List of illustrations The same asset path sampled at different scales Asset paths and running sum-of-square returns Program of Chapter 7: ch07.m Asset paths and running sum-of-square increments ... Mathematics, Statistics, Economics, Business, Accounting, Computer Science and Physics In my view, such a class has two great selling points • From a student perspective, the topic is generally ... problem solving is the best learning tool, so I strongly encourage students to make use of them I have used a starring system: one star for questions whose solution Preface xix is relatively easy/short,...

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An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_3 pptx

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_3 pptx

... liberally spread across the interval (0, 1) and the putative N(0, 1) samples seem to be clustered around zero, but, of course, this tells us very little 4.3 Statistical tests M We may test a pseudo-random ... instead of M is better This issue is addressed in Chapter 15.) Results for M = 102 , 103 , 104 and 105 appear in Table 4.2 We see that as M increases, the U(0, 1) sample means and variances approach ... discussed in this book So whenever we argue that a sequence of random variables is ‘close to some random 28 Random variables variable X ’, we implicitly mean close in this distributional sense...

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22 509 1
An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_4 ppt

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_4 ppt

... line samples = randn(M,1), assigns M such samples to the array samples We then use ssort = sort(sample), to create an array ssort containing the elements of samples, rearranged into ascending order ... emphasizing that the tests in Section 5.3 were designed solely for the purpose of illustration There are many practical issues to address before a serious statistical analysis of stock market data ... listing some of the assumptions that will go into our analysis 5.2 Efficient market hypothesis The price of an asset is, of course, a measure of investors’ confidence, and, as such, is strongly...

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An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_5 ppt

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_5 ppt

... array whose ith row represents a single discrete asset path, as in (6.9) The next line Svals = [S* ones(M,1) Svals]; % add initial asset price adds the initial asset as a first column, so that the ... yet specified what type of option is being valued The PDE must be satisfied for any option on S whose value can be expressed as some smooth function V (S, t) 80 Black Scholes PDE and formulas Regarding ... asset and cash, that is, a combination of asset and cash that has precisely the same risk as the option at all time The portfolio will consist of a cash deposit D and a number A of units of asset...

Ngày tải lên: 20/06/2014, 18:20

22 560 1
An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_7 pdf

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_7 pdf

... the use of surf, surfc and waterfall instead of mesh Quotes The Black Scholes formula is still around, even though it depends on at least 10 unrealistic assumptions Making the assumptions more ... Black Scholes formulas We will introduce three new dimensionless quantities First is the moneyness ratio m := log Ser (T −t) E To interpret m, we need to generalize (6.11) into the formula Seµ(T ... to other European-style options, that is, options whose payoff may be expressed as a function of the asset price at expiry Under our model (6.8), the√ final asset price, S( T ), is a random variable...

Ngày tải lên: 20/06/2014, 18:20

22 692 2
An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_8 pptx

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_8 pptx

... the possible asset prices are 151 152 Binomial method M SM M SM S2 S1 S1 S0 S0 S0 M S1 M S0 Fig 16.1 Recombining binary tree of asset prices u S0 , ud S0 and d S0 (The price ud S0 may arise from ... Exercise 16.1 asks you to cast this simple model in the form (6.2) by redefining Yi Since the initial asset price, S0 , is known, at time t1 = δt the possible asset prices are u S0 and d S0 Similarly, ... constant as other parameters are varied does, of course, imply that the Black Scholes formulas fail to describe perfectly the option values that arise in the marketplace This should be no surprise,...

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22 546 1
An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_9 pot

An Introduction to Financial Option Valuation: Mathematics, Stochastics and Computation_9 pot

... 17.2 Black Scholes surface for a cash-or-nothing call, with asset path superimposed see Exercise 17.3 Inserting these expressions into the Black Scholes PDE (8.15) we find that the expression ... is a discontinuous payoff diagram 17.3 Black Scholes for cash-or-nothing options C cash (S, t) We will let and P cash (S, t) denote the values of the cash-or-nothing call and put options, respectively, ... the previous section suggest that the binomial method asset model matches that used in the Black Scholes analysis for small δt, that is, large M We may thus hope that the option values computed...

Ngày tải lên: 20/06/2014, 18:20

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An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_1 doc

An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_1 doc

... is that by combining different types of option, an investor can take a position that reaps benefits from various types of asset behaviour To understand this, it is useful to visualize options ... as that of the T1 option It is perhaps surprising that there is no such simple result for European put options; see Exercise 10.7 in Chapter 10 This chapter has given an indication of some simple ... certain simple results about option valuation that can be deduced from first principles, using elementary mathematics This chapter derives such results To this we introduce two key concepts: discounting...

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22 542 1
An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_4 docx

An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_4 docx

... array whose ith row represents a single discrete asset path, as in (6.9) The next line Svals = [S* ones(M,1) Svals]; % add initial asset price adds the initial asset as a first column, so that the ... yet specified what type of option is being valued The PDE must be satisfied for any option on S whose value can be expressed as some smooth function V (S, t) 80 Black Scholes PDE and formulas Regarding ... asset and cash, that is, a combination of asset and cash that has precisely the same risk as the option at all time The portfolio will consist of a cash deposit D and a number A of units of asset...

Ngày tải lên: 21/06/2014, 07:20

22 385 1
An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_9 ppt

An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_9 ppt

... option at asset price S and time t The Black Scholes PDE (8.15) is relevant unless the barrier is crossed, so C B (S, t) must satisfy the PDE on the domain ≤ t ≤ T , B ≤ S If S = B then the option ... many cases, exact expressions for the option value are not available, and hence approximations must be computed This chapter introduces some of the less esoteric exotics and discusses the use of ... exercise, so the word option is perhaps inappropriate It is possible to derive Black Scholes formulas for the four lookback cases above, see Section 19.7 for references There are many extensions...

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An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_10 doc

An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_10 doc

... log = M S( tn−M ) = Because those intermediate terms cancel, a M depends only on the first and last S values! Our asset price model assumes that log (S( tn ) /S( tn−M )) is normal with 206 Historical ... Figures 5.1 and 5.2 In both cases, we assume that the data corresponds to equally spaced points in time The daily data runs over months (T = 3/4 years) and has 183 asset prices (M = 182), so we set ... the risks involved may not be properly understood even by the most sophisticated of investors Some of these instruments appear to be specifically designed to enable institutions to take gambles which...

Ngày tải lên: 21/06/2014, 07:20

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An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_11 doc

An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_11 doc

... V = zeros(M,1); Vanti = zeros(M,1); for i = 1:M samples = randn(N,1); % standard Monte Carlo Svals = S* cumprod(exp((r-0.5*sigmaˆ2)*Dt+sigma*sqrt(Dt)*samples)); Smax = max(Svals); if Smax < B ... exp(-r*T)*max(Svals(end)-E,0); end % antithetic path Svals2 = S* cumprod(exp((r-0.5*sigmaˆ2)*Dt-sigma*sqrt(Dt)*samples)); Smax2 = max(Svals2); V2 = if Smax2 < B V2 = exp(-r*T)*max(Svals2(end)-E,0); ... path-dependent options where there is no known analytical expression for the option value, but there is an expression for a similar option The classic example is an arithmetic average price Asian option, ...

Ngày tải lên: 21/06/2014, 07:20

22 402 1
An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_12 pot

An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_12 pot

... quickly than h Exercise 23.6 asks you to show that BTCS is unconditionally stable, that is, stability in the sense of von Neumann is guaranteed for all ν > This is consistent with Figure 23.7, ... 0 respectively The Nx-1 by Nx-1 array U is used to store the numerical solution; successive columns hold the solution Ui in (23.8) at successive time levels The initial condition is inserted ... this way τ represents the time to expiry and runs from T to when t runs from to T Under this transformation the Black Scholes PDE (8.15) becomes ∂V ∂2V ∂V − σ S2 − r S + r V = (24.1) ∂τ S ∂S...

Ngày tải lên: 21/06/2014, 07:20

22 372 1
An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_13 pdf

An Introduction to Financial Option Valuation Mathematics Stochastics and Computation_13 pdf

... Cambridge University Press Bj¨ rk, Thomas (1998) Arbitrage Theory in Continuous Time Oxford: Oxford University o Press Black, Fischer (1989) How to use the holes in Black and Scholes Journal of ... Models Chichester: Wiley Cochrane, John H (2001) Asset Pricing Princeton, NJ: Princeton University Press Corless, Robert M (2002) Essential Maple Berlin: Springer Cox, John C., Stephen A Ross, ... Rogers, L C G and E J Stapleton (1998) Fast accurate binomial pricing of options Finance and Stochastics, 2:3–17 Rogers, L C G and O Zane (1999) Saddle-point approximations to option prices Annals...

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11 454 0
Black''''s veterinary dictionary 21st edition - A doc

Black''''s veterinary dictionary 21st edition - A doc

... amounts of fibrous tissue Causes Abscesses due to tuberculosis, ACTINOMYCOSIS, An acute abscess forms rapidly and as rapidly comes to a head and bursts, or else becomes reabsorbed and disappears staphylococci, ... Abscess Localised pus, surrounded by inflamed tissue A tiny abscess is known as a PUSTULE, and a diffused area that produces pus is spoken of as an area of CELLULITIS Abscesses in cats are usually ... usually hastens the results and enables a rapid diagnosis to be made Aggressiveness (Aggression) This may be transient, as in a nursing bitch fearful for her puppies Persistent aggressiveness...

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57 362 1
Black''''s veterinary dictionary 21st edition - B pot

Black''''s veterinary dictionary 21st edition - B pot

... carcases, has been suggested as the source of botulism in horses In the USA, contaminated alfalfa caused deaths of out of horses which showed signs of progressive muscular weakness Signs Difficulty ... course of certain digestive disorders (See also GALLSTONES.) Bile Acids Steroid acids produced from the liver Bilharziosis Bilharziosis is a disease caused by bilharziae or schistosomes; these ... Blepharitis Inflammation of the eyelids It is usually associated with conjunctivitis Blepharospasm Blepharospasm is a spasm of the eyelids Blindness (see under EYE, DISEASES OF; also VISION) Bloat Also...

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Black''''s veterinary dictionary 21st edition - C doc

Black''''s veterinary dictionary 21st edition - C doc

... NOCARDIOSIS; PYOTHORAX; RABIES; SALMONELLOSIS; STEATITIS; toxocariasis under TEXOCARA; TUBERCULOSIS; TYZZER S DISEASE; YERSINIOSIS; SPOROTRICHOSIS; POTOMAC HORSE FEVER; THROMBOSIS of femoral arteries ... cats Chlamydia suis causes conjunctivitis, pneumonia and enteritis in pigs Psittacosis Sometimes called parrot disease, psittacosis affects virtually all avian species There are several strains ... Coccidian Parasites/Diseases (see COCCIDIOSIS; HAMMONDIA; SARCOCYSTIS; TOXOPLASMOSIS) Coccidian life-cycle The oocyst is passed in the faeces It consists of the zygote, which results from the union...

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