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CPT206 Computer Programming for Financial Mathematics
创建日期：2024-07-09 14:53:24
标签： CPT206
Computer Programming for Financial Mathematics
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CPT206 Computer Programming for Financial Mathematics:

Coursework 3 Task Specification

This is the specification task sheet for the Coursework 3 assessment component of your CPT206 module.  The task covers all Learning Outcomes, and has a weighting of 70% towards the final grade for this module. This assignment has two parts: a coding part described in Section 1, and a report described in Section 2.  

1    Program description (70 marks)

The aim of this coursework is to build a system which manages investments in companies’ shares. All the work should be coded into a single Java NetBeans project, with the class structure and different functionalities of the program described below.  All classes should be properly encapsulated, as seen in the Lectures and Labs throughout the semester.  Your project should also contain a Controller class for testing.  You may leave some or all of your test code in the Controller class if you wish when submitting, but no marks are allocated for this class’s contents in your submission. Instead you will be asked to describe your testing in the report (see Section 2.3), and marked on that.

1.1    Market class  (7 marks)

The Market class represents the current companies that are on the market, that is whose shares can be traded (bought or sold).  It therefore stores a collection of Company objects (see Section 1.2). Any company can only appear on the market at most once.  The class should also have methods add() and remove() to add or remove a given company from the market, and contains() to check if a given company is on the market or not.  There will only be one market in the program, so all members of the class should be static.

1.2    Company class  (25 marks)

A Company object should store its  (legal) name,  a  stability  coefficient  (a  percentage between  0 and 100) indicating how stable its share prices are, and the history of its share prices.  When a Company object is created, its initial share price is specified  (as well as the name and stability coefficient). The history then consists of this initial share price.  The Company class should have a method getCurrentSharePrice() which returns the current share price of the company (this will be the last share price in its history) and a method getInitialSharePrice() which returns the initial share price of the company (this will be the first share price in its history).  There should be methods to add or remove the company from the market, and to check if it is currently on the market.  There should be a method updateSharePrice() to update the valuation of a company’s share price, according to the following formula:

Sharenew  = Sharelast  (1 + (1 - stab) * U) ,

where:

•  Sharenew  is the new current share price of the property (after update);

•  Sharelast  is its old current share price (before update);

• stab is the company’s stability coefficient;

•  U is a uniform random variable on the interval [-1, 1].

The new share price should then be added to the company’s history (as its last element).

Finally, there should be a method getTrend(int movementNumber, int significance) to determine the trend of a company’s share value based on a number of recent movements.  Given two share prices in a company’s history s1  and s2 , the movement is simply the difference s2 - s1 .  A movement is consecutive if it is between two consecutive share prices in the company’s history.  A movement is considered significant if the ratio s1/|s2−s1| is greater than or equal to the significance
 threshold. Otherwise it is insignificant. The trend of the company is then calculated by looking at the last movementNumber consecutive movements as follows.

• If strictly more than half of these are significant increases, and the share price has overall increased significantly over the whole period, then the trend is increasing.

• If strictly more than half of these are significant decreases, and the share price has overall decreased significantly over the whole period, then the trend is decreasing.

• If strictly more than half of these are insignificant, and the share price movement over the whole period is also insignificant, then the trend is stable.

•  Otherwise, the trend is uncertain.  This includes the case where there is insufficient data in the history.

For example, suppose movementNumber = 3, and the last four values in a company’s share history are  [100, 105, 97, 103], so that the last three consecutive movements are +5, -8, +6.  The overall movement over this period is 103 - 100 = 3.

• If the significance threshold is equal to 3 (or less), then the trend is increasing: the consecutive movements +5 and +6 both meet the significance threshold (this is a strict majority of them), as does the overall movement.

• If the significance threshold is equal to 7 (or more), then the trend is stable: the consecutive movements +5 and +6 are both within the stability threshold, as is the overall movement.

• If the significance threshold is equal to 5, then the trend is uncertain:  while there are two significant increases in the consecutive movements, the overall movement is too small to be significant.

• If the significance threshold is equal to 6, then the trend is also uncertain:  the consecutive movement +5 is insignificant, -8 is a significant decrease, and +6 is a significant increase, so there is no majority of consecutive movement type.

1.3    (Basic)Strategy class  (12 marks)

The investor will need to devise strategies determining when they should invest in a given company, and how many shares they should buy when doing so. The building block for this will be a Strategy interface, with a method invest(company) that takes as parameter a Company object, and returns the number of shares to invest in based on the company’s current performance in the market. The number returned is a signed integer, with a negative value indicating that the investor should sell shares in that company.


The strategy should then be implemented through a BasicStrategy class.  This class should store a maxTransaction variable, indicating how much they are willing to invest or divest in shares in a given transaction.  It should also store variables movementNumber and significance.  The implementation of the invest(company) method should first calculate the company’s trend based on these two variables, and then decide how much to invest/divest as follows.

• If the company’s trend is stable or uncertain, there is no investment to be made (the method should return 0).

• If the company’s trend is increasing, the investor should buy shares.  The number they buy is equal to the maximal value such that they spend no more than maxTransaction on the transaction.

• If the company’s trend is decreasing, the investor should sell shares.  As above, the number they sell is equal to the maximal value such that they receive no more than maxTransaction from the transaction.

1.4    Investor class  (16 marks)

Finally, your project should have an Investor class, responsible for managing investment in the market (this could be an individual investor, or a company’s own investments in the market, for example). Each investor should have a collection of companies (on the market) they are interested in investing in. The investor should then associate to each of these a Strategy dictating how they will invest, and the number of shares in the company they currently own.  By default, Investor objects are created with no companies of interest.  They can also be created with a specified collection of such companies together with their corresponding strategies, but no shares in any of the companies. The various functionalities of the class are as follows.

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MAS316/414 ACCT2522 MSIN0181 ATMS 201 COMP3425 MATH7861 SOLA2060 MA 325 7CCEMCTH ECON 432 INFT2051 SOLA 2060 ECOS2002 Stats141XP BIOA02H3 S2022 MA4601 K5 COMP5329 EG 284 IB3A70 WECO1020 COMP3027 Energy ACS61011 MAST20026 STAT 533 MATA31 ENVS257 BEM2031 EC 486 COMP0172 CS3214 EECE5644 IB2B20 COSC2536 COSC1147 COMP6214 5CCM242A COMP0130 AMME2000 MTMG50: EG238 ACF6006 QBUS2810 COSC2391 ECON7560 MATH377 STA305 CS 486 COMP1117B EL648 ELEC3909 ECON 241 COMP 4901W BUSI4428 ENEN20002 ENGN4524 ELEC3115 CSC 413 PSYC 100B ECON1002 MATH256 ANSC20005 MTHS2008 MATH40082 COSC 2406 FIT3174 STA 238 CMT202 Differential Equations MTHM017 GARCH 101 MATH2069 CSC336S ACSC12 ETF2121 CEME 2001 DB B474F ARHT1001 EECS 3311 3220 STATS 786 CS 484 COMP20008 MATH4091 ECE 455 CSCI 204 BUS B200F BA 875 BU5562 COSC 1147 X11 GEOG 101 IMM250F CSE 584A MATH38172 LAB 4 ELEC5882M FINS5523 EE 430 COMP 465 6CCS3PRE 7CCSMNSE FINANCE ACMB02H3 ENGG2112 ELEC5616 SCM B371 CHEM3120 CS22 ECMT2130 MAST30011 ADSPBF706 CENG0013 ACCOUNTING BUSS1040 CHEM 181 MAT136H1 GY 6183 COMP3170 AGRI90089 PHYSICS 1002 ECON10003 IEOR E4004 ACS61012 MATH 40550 MKTG2113 TELE4653 ENSC1004 ECE 232E MK726 MTRX2700 SHEET 3 CSCA08 COMP30027 Math 2XX3 statistic MMAN3200 BISM7213 ECMM109 ECON 2022 FNCE 20005 GR5067 CSCB09 ME 3017 CS 5100 PHYS 2903 COMS 4771 COMP222 COMP 1046 CSC148H1 ISYS2038 FINS2615 OT5206 COMP2048 A6 MECH5770M MA826/20 CMPT 726 STA457 INFS6071 INFS588 integral ECON 216 IRDR 0017 MA323 PA 15213 PSYC2001 ENV222 Statistics ACCT5930 ACCT12 LAND2121 ME 5405 COMM1180 TELE3113 A7 ECE 568 ACCT2019 INFS1200 ENGG1340 CS 1400 ASST3 FINM7409 SWEN30006 INFO2222 FIN20150 SOSS1000 CSSE7231 FINS5513 COMS3200 CECN 702 ECON4060H MN3515 HW2 PSYA02H3 ECON 2112 COMP90051 CS 1652 MA30059 AF1605 MKTG7501 ECO-6003B COM4521 CTM ECON3350 COMP 3804 ELEC9762 BISM 7255 ST22 MATH20014 MNE3122 COMP343 MATH5165 ELE7029 ENGR30002 SEEM3500 ECON7350 RISK5002 FINM7405 COMP90059 MOS 3320B STAT 431 BISM7221 MATH3014 MTH783P EBA 35302 ACS133 BUS2206 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