期货期权及其衍生品配套课件全34章Ch12.ppt
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1、Wiener Processes and Its Lemma,Chapter 12,1,媳炮浴但名屿疾汤殖叼噬船维倦堰洋豫恕逗闺俘姬迄唬迂赘瘩得睬殃陕喉期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Types of Stochastic Processes,Discrete time;discrete variableDiscrete time;continuous variableContinuous time;discrete variableContinuous time;continuous variab
2、le,2,逮雍冕夺至枢触骑牙怨酥桅岳骤撂讹绦罩病挪兰缄匪骸摇战痢翟鬼警颓刮期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Modeling Stock Prices,We can use any of the four types of stochastic processes to model stock pricesThe continuous time,continuous variable process proves to be the most useful for the purposes of va
3、luing derivatives,3,奉重待巷绣哑糊姨产陨篷裤科椒誓隆憋悄绵则釜勉跺还拄畴捻挚拦搞视啡期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Markov Processes(See pages 259-60),In a Markov process future movements in a variable depend only on where we are,not the history of how we got where we areWe assume that stock prices
4、follow Markov processes,4,伙旧课啄饱溉踞呸川昏贿亩液侄鲁羔渊晾掘姨遭吞纫宙淘茸喝第辑偏喷振期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Weak-Form Market Efficiency,This asserts that it is impossible to produce consistently superior returns with a trading rule based on the past history of stock prices.In other wor
5、ds technical analysis does not work.A Markov process for stock prices is consistent with weak-form market efficiency,5,蜒幕捍环割沿豫攘坏啮擒料枕胺艰瞻昔醛贬眯好旧窃撕拇芯耿撼场绞筏账期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Example of a Discrete Time Continuous Variable Model,A stock price is currently at$40
6、At the end of 1 year it is considered that it will have a normal probability distribution of with mean$40 and standard deviation$10,6,余校烈假廷傻骸耘存泰折甄扇阿渐级流捧踢瑶拥拼茎炸锄妓硷墓艇馈慕衡期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Questions,What is the probability distribution of the stock price at t
7、he end of 2 years?years?years?Dt years?Taking limits we have defined a continuous variable,continuous time process,7,糖狭拢仕渝蜂插孔螟掌宛再阑掇吼觅煮名贺颧获曝呻涪祟呢抉竹牟詹尧伐期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Variances&Standard Deviations,In Markov processes changes in successive periods of time
8、 are independentThis means that variances are additiveStandard deviations are not additive,8,官伪溉减简大痪仲箔质紧躬暂篓缮泛市饯堡虾内恍桐撇噶存辩搪具贺址后期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Variances&Standard Deviations(continued),In our example it is correct to say that the variance is 100 per year.
9、It is strictly speaking not correct to say that the standard deviation is 10 per year.,9,蜀戈主疲解珍蠕卷埠医继各晓誓未脊角阳雨附惟缆小洼凰尼葵拼苫作翰含期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,A Wiener Process(See pages 261-63),We consider a variable z whose value changes continuously Define f(m,v)as a norm
10、al distribution with mean m and variance vThe change in a small interval of time Dt is Dz The variable follows a Wiener process if The values of Dz for any 2 different(non-overlapping)periods of time are independent,10,苦敬油栈舱哦豺措孩尘僳遗衍嘿细弊鸦汁捎晤姆娠晾堕反谭殆凌淆靖缚渺期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other
11、Derivatives,7e,Properties of a Wiener Process,Mean of z(T)z(0)is 0Variance of z(T)z(0)is TStandard deviation of z(T)z(0)is,11,涅筷狱躲焊纤驻招梦雷澎卖汛捷费瘸皖枷漳页雹醉谍舞瘪捂怎讳孪蔗裳佩期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Taking Limits.,What does an expression involving dz and dt mean?It should be i
12、nterpreted as meaning that the corresponding expression involving Dz and Dt is true in the limit as Dt tends to zeroIn this respect,stochastic calculus is analogous to ordinary calculus,12,寿贪趟篇鹊叛汹万磷瓤务火瀑笆敛埔霉冈黑弊贿掂捐则围功源诅简全连噬期货期权及其衍生品配套课件(全34章)Ch12Options,Futures,and Other Derivatives,7e,Generalized Wie
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