Master Of Science In Financial Markets

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Financial Economics Track –FINANCIAL MARKETS2019-2020Financial Economics TrackMaster of Sciencein FinancialMarkets2019-2020Last Update: July 22, 2019 (Subject to modifications)1

Financial Economics Track –FINANCIAL MARKETS2019-2020MSc in FINANCIAL MARKETSCAMP NICENICENICENICENICENICEP RO GRAMMEEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDEDSEM. STATUSMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKT111111111111111112 - Conc entrationED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTEDEDEDEDEDEDMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTEDEDEDEDEDEDMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F 2585917313511008²CO URSE NAMETake ownership of your academic environmentPreparing yourself for learning with casesIntercultural SeminarResearch Seminar (for Student Research Team ONLY)Remedial in Mathematics: Foundation of Mathematics for FinanceProgramming for finance with VBA and RPython for FinanceAdvanced Financial TheoryEmpirical Methods in FinanceAdvanced Fixed Income SecuritiesAdvanced DerivativesComplianceMarket Microstructure - Implementing Portfolio DecisionBloomberg Market Concept (BMC)Value, Cooperation and Trust (only for Incoming)French course (only for Incoming & IC)TI&CDin Asset Management2OPT3667 Research Seminar (for Student Research Team ONLY) *2CC5661 Socially Responsible Investing2CC5403 Data & Machine Learning2CC5407 Data Visualization2CC5664 R for Finance2SEM1104 Ethics and Finance2ELEElective 1*2ELEElective 2*2SCC1011² TI&CD2INC2368 Researching France (only for Incoming)2LVX1352 French course (only for Incoming)2222222 - Conc entrationED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F MKTED MSc F N AMAMAMAMAMAM565856601161566536731063Regulation and Innovation in Asset ManagementEfficient equity investing: advanced methods for active and passive money managementInvestment SolutionsPrivate EquityTactical Asset AllocationAlternative Investmentsin 7566154035407566411041011²23681352Research Seminar (for Student Research Team ONLY) *Socially Responsible InvestingData & Machine LearningData VisualizationR for FinanceEthics and FinanceElective 1*Elective 2*TI&CDResearching France (only for Incoming)French course (only for Incoming)5659276556678428866309Banking and Financial Markets RegulationFX Derivatives Markets And Applications To Treasury ManagementStructured ProductsMarket Risk MeasurementTrading in PracticeAlgorithmic Trading222222TTTTTTH o u r s p erSt u d en tEC TS fo r MSc St u d en tI NC OMI 5275No 222272227543222432222432* replaced by Research Seminar for Student Research TeamNICENICECAMP USEDEDMSc F MKTMSc F MKTP RO c F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKTMSc F MKT33MPINTSEM. STATUS2222222ELEELEELEELEELEELEELE10135487N 3943566845074899631053695745Master ProjectInternship / Work Expérience (only for IC)ELECTIVES NAMECommoditiesBitcoin, Blockchain and Crypto-AssetsMonetary Policy and Central Banks’ WatchingMacroeconomy, Investments and Financial MarketsCoursera Online mentoringFactor Investing in Equity and Bond MarketsAdaptive risk management702

Financial Economics Track –FINANCIAL MARKETS2019-2020SEMESTER 1 . 420 M2 NI FE S1 SEM 4374: TAKE OWNERSHIP OF YOUR ENVIRONMENT (for IC & Incoming students) .520 M2 NI FE S1 SEM 4375: PREPARING YOURSELF FOR LEARNING WITH CASES (For IC & Incoming students) .620 M2 NI FE S1 SEM 2742: INTERCULTURAL SEMINAR .720 M2 NI FMK S1 REM 6222: REMEDIAL IN MATHEMATICS: FOUNDATION OF MATHEMATICS FOR FINANCE **.820 M2 NI FMK S1 SEM I&T 1059: PROGRAMMING FOR FINANCE WITH VBA AND R ** .920 M2 NI FMK S1 HUM 744: PYTHON FOR FINANCE * .1020 M2 NI FMK S1 CCO FIN 799: ADVANCED FINANCIAL THEORY ** .1120 M2 NI FMK S1 CCO FIN 797: EMPIRICAL METHODS IN FINANCE .1220 M2 NI FMK S1 CCO FIN 2764: ADVANCED FIXED INCOME SECURITIES ** .1320 M2 NI FMK S1 CCO FIN 848: ADVANCED DERIVATIVES ** .1520 M2 NI FMK S1 CCO 6314: COMPLIANCE ** .1620 M2 NI FMK S1 CCO 5662: MARKET MICROSTRUCTURE - IMPLEMENTING PORTFOLIO DECISION.1720 M2 NI FE S1 CCO 5859: BLOOMBERG MARKET CONCEPTS (BMC) .1820 M2 NI FE S1 CCO HUM INCOMNODD 173: VALUES, COOPERATION AND TRUST (for Incoming students) .1920 M2 NI FE S1 LVX LV2 FLE INCOMINGNODD 1351: FRENCH COURSE (For IC & Incoming students) .21SEMESTER 2 . 2220 M2 NI FMK S2 CCO 5661: SOCIALLY RESPONSIBLE INVESTING * / Core Course .2320 M2 NI FMK S2 CCO 5403: DATA & MACHINE LEARNING** / Fintech Certificate .2520 M2 NI FMK S2 CCO 5407: DATA VISUALIZATION / Fintech Certificate .2620 M2 NI FMK S2 CCO 5664: R FOR FINANCE / Fintech Certificate .2720 M2 NI FMK S2 SEM 1104: ETHICS AND FINANCE ** / Core Course .2820 M2 NI FMK S2 MAM 5658: REGULATION AND INNOVATION IN ASSET MANAGEMENT * / Major in AssetManagement .3320 M2 NI FMK S2 MAM 5660: EFFICIENT EQUITY INVESTING: ADVANCED METHODS FOR ACTIVE AND PASSIVEMONEY MANAGEMENT * / Major in Asset Management .3420 M2 NI FMK S2 MAM 1161: INVESTMENT SOLUTIONS / Major in Asset Management .3720 M2 NI FMK S2 MAM 5665: PRIVATE EQUITY / Major in Asset Management .3820 M2 NI FMK S2 MAM 3673: TACTICAL ASSET ALLOCATION / Major in Asset Management .3920 M2 NI FMK S2 MAM 1063: ALTERNATIVE INVESTMENTS / Major in Asset Management .4120 M2 NI FMK S2 MTM 5659: BANKING AND FINANCIAL MARKETS REGULATION / Major in Trading .4320 M2 NI FMK S2 MTM 2765: FX DERIVATIVES MARKETS AND APPLICATIONS TO TREASURY MANAGEMENT /Major in Trading .4520 M2 NI FMK S2 MTM 5667: STRUCTURED PRODUCTS / Major in Trading .4620 M2 NI FMK S2 MTM 842: MARKET RISK MEASUREMENT ** / Major in Trading .4820 M2 NI FMK S2 MTM 886: TRADING IN PRACTICE ** / Major in Trading.5020 M2 NI FMK S2 MTM 6309: ALGORITHMIC TRADING ** / Major in Trading .52ELECTIVES* . 5320 M2 NI FMK S2 ELE FIN 3943: COMMODITIES* .5420 M2 NI FMK S2 ELE 5668: BITCOIN, BLOCKCHAIN, AND CRYPTO-ASSETS .5620 M2 NI FMK S2 ELE FIN 4507: MONETARY POLICY AND CENTRAL BANKS’ WATCHING .5720 M2 NI FMK S2 FMK ELE 4899: MACROECONOMY, INVESTMENTS AND FINANCIAL MARKETS ** .5820 M2 NI FMK S2 FMK ELE 6310: COURSERA ONLINE & MENTORING ** .6020 M2 NI FMK S2 FMK ELE 5369: FACTOR INVESTING IN EQUITY AND BOND MARKETS .6120 M2 NI FMK S2 FMK ELE 5745: ADAPTIVE RISK MANAGEMENT ** .62*Syllabus to be updatedPLEASE NOTE THAT A PRESENTATION OF THE MASTERPROJECT & OF THE RESEARCH SEMINAR WILL TAKE PLACE ONSEPTEMBER 20193

Financial Economics Track –FINANCIAL MARKETS2019-2020SEMESTER 14

Financial Economics Track –FINANCIAL MARKETS2019-202020 M2 NI FE S1 SEM 4374: TAKE OWNERSHIP OF YOUR ENVIRONMENT (for IC &Incoming students)SEMESTER: 1NUMBER OF HOURS: 2INTERNATIONAL PROGRAMME: 0 ECTSCOURSE COORDINATOR MAIL: jeremie.laniez@edhec.eduCOURSE OBJECTIVESThis course aims at giving the newcomer students the basic knowledge to use the computers properly on the campus,especially for foreign students.LEARNING OUTCOMESAfter having taken this course, participants will be able to: Use the computers of the campus Use the library onlineMore specifically, participants should be able to (skill- and competency-based outcomes) Use Windows in French and the French keyboard Use MyEdhec and especially the learning platform Register to the online Library of the campus Use some important features in the Microsoft Office SuitePREREQUISITESNone.COURSE CONTENTSESSION1TOPICFrench keyboard and Windows file structure.Review of the services on the learning platform, how to send assignments, settings.Basics of the Microsoft Office Suite, online/offline versions, language settings.Library: Presentation & registrationTEACHING & LEARNING METHODSLecture and practical cases in a computer room.ASSESSMENT METHODSNone.READINGNone5

Financial Economics Track –FINANCIAL MARKETS2019-202020 M2 NI FE S1 SEM 4375: PREPARING YOURSELF FOR LEARNING WITH CASES (ForIC & Incoming students)SEMESTER: 1NUMBER OF HOURS: 4INTERNATIONAL PROGRAMME: 0 ECTSCOURSE COORDINATOR: Penny Jarvis jarvispenny@gmail.comCOURSE OBJECTIVESThis course enables students to understand the relevance of the case study methodology both in class work and futurerecruitment scenarios. It teaches the theory and enables students to practice one or more case studiesThe objective is : Provide an overview of the theory of case studies Prepare students so that they perform to their highest ability during case study projects Explain the use of case studies in future recruitmentLEARNING OUTCOMESAfter having taken this course participants should be able to: Understand how to read the case study efficiently Employ critical reasoning to analyse case studies Understand how to write up case study reports Understand how to impress future recruiters by being able to perform well in case study exercisesPREREQUISITESStudents should recognize the importance of this course in preparing them for case study use in the classroomThey should pre-watch the HBR video explaining the theory of case studies before the curseCOURSE CONTENTSESSION1234TOPICIntroduction to Case Study Methodology and Critical ReasoningIndividual Case Presentation ExampleGroup Case Presentation ExampleGroup Case Class ExampleTEACHING & LEARNING METHODSTeaching Method- Action Learning (theory, practice, then feedback)ASSESSMENT METHODSNoneRECOMMENDED READINGHBR class notes on Blackboard6

Financial Economics Track –FINANCIAL MARKETS2019-202020 M2 NI FE S1 SEM 2742: INTERCULTURAL SEMINARSEMESTER: 1NUMBER OF HOURS: 9INTERNATIONAL PROGRAMME: 0 ECTSCOURSE COORDINATOR MAIL: Anne WITTECOURSE OBJECTIVESThis seminar aims at building cultural awareness and developing the cognitive and behavioural abilities to communicateeffectively across cultures particularly for students pursuing careers in finance. Four learning objectives are pursued: Become acquainted with key concepts used in intercultural communication Gain practical experience with diversity by working in international teams effectively and productively Question stereotypes through heightened cultural awareness Practice coping strategies when confronted with unfamiliar cultural environmentsLEARNING OUTCOMESAfter having taken this course, participants will be able to/are expected to know or understand (knowledge-basedoutcomes):LO1 The main theories of culture and diversityLO2 How these theories apply to the self and to othersMore specifically, participants should be able to (skill- and competency-based outcomes):LO3 Work with persons of different cultural backgroundsLO4 Anticipate the specific adaptations that may be required in diverse environmentsLO5 Refrain from harsh judgement and stereotypingPREREQUISITESThree years of general business courses or Bac 3 Business Administration.Proficiency in EnglishA background communication course can be helpfulCOURSE CONTENTSession 1 - Language, Stereotypes and diversity /The Meaning Market SimulationReading: Triandis, Harry C (2002) Subjective Culture in Online Readings in Psychology and Culture, on 2 - Country Analysis: The Royal Dutch Gazelle Bicycle CaseSee the following TED Talk by the author of « Sapiens » and “Homo Deus: A Brief History of Tomorrow », Yuval NoahHarari, (February 2017) « Nationalism vs. Globalism : the new political divide” athttps://www.ted.com/talks/yuval noah harari nationalism vs globalism the new political divide?language en#t307692 & Hofstede, G. (2011). Dimensionalizing Cultures: The Hofstede Model in Context. Online Readings inPsychology and Culture , 2, (1) http://dx.doi.org/10.9707.0919.1014Session 3 - Analyzing Cultures vs Individuals: DiversityReading: Laroche, M., Vinhal, M. Huang, L. Richard, Marie-Odile( (2011) “What’s so Funny?: The Use of Humor inMagazine Advertising in the United States, China and France, Journal of Advertising Research, June. Doi 10.2501/JAR-512-404-416.Enter the EDHEC online library Nice and then click: arch.ebscohost.com/login.aspx?direct true&db bth&AN 61870878&lang fr&site edslive&scope siteTEACHING & LEARNING METHODSSeminar style interaction, games and self-discovery exercisesASSESMENT METHODSFinal Quiz 100% (30 minutes). This course issues a PASS/FAIL on the transcript. Absences to the exam can becompensated by presence for the entire course and active participation. Absences to the course can be compensated bya PASS grade on the exam (more than 10).READINGSee course Content.7

Financial Economics Track –FINANCIAL MARKETS2019-202020 M2 NI FMK S1 REM 6222: REMEDIAL IN MATHEMATICS: FOUNDATION OFMATHEMATICS FOR FINANCE **SEMESTER: 1NUMBER OF HOURS: 15INTERNATIONAL PROGRAMME: 0 ECTSCOURSE COORDINATOR MAIL: Riccardo REBONATONEW COURSE - Syllabus to be completed8

Financial Economics Track –FINANCIAL MARKETS2019-202020 M2 NI FMK S1 SEM I&T 1059: PROGRAMMING FOR FINANCE WITH VBA AND R**SEMESTER: 1NUMBER OF HOURS: 15INTERNATIONAL PROGRAMME: 1.5 ECTSCOURSE COORDINATOR MAIL: Laurent DEVILLECOURSE OBJECTIVESThe course is designed to teach students how to leverage the advanced facilities of Excel that are commonly used incorporate finance / capital markets. The course then shows how to use Visual Basic for Applications (VBA) to create veryrobust and powerful spreadsheets. The course presents and implements some of the main concepts in this area.LEARNING OUTCOMESAfter having taken this course, participants will be able to/are expected to know or understand (knowledge-basedoutcomes) Use Excel efficiently, productively and safely Solve and implement various financial problems in Excel and VBAMore specifically, participants should be able to (skill- and competency-based outcomes) Develop their own classes in VBA Build a personal set of useful functions for use in specific projectsPREREQUISITESFamiliarity with the Excel VBA environment.COURSE CONTENTTo be completed - RESTRUCTUREDTEACHING & LEARNING METHODSIt is a hands-on class that uses many practical examples which will be programmed and discussed in class. Longerapplications and case studies will be started in class and then have to be completed at home.ASSESMENT METHODSASSESSMENTFinal homeworkParticipationNATURE% OF THE TOTAL MARKDETAILSDURATIONLEARNING OUTCOMEEVALUATED80%20%9

Financial Economics Track –FINANCIAL MARKETS2019-202020 M2 NI FMK S1 HUM 744: PYTHON FOR FINANCE *SEMESTER: 1NUMBER OF HOURS: 15INTERNATIONAL PROGRAMME: 1.5 ECTSCOURSE COORDINATOR MAIL: TBDCOURSE OBJECTIVESPython is a programming language that is widely used in financial markets to solve a broad range of problems, as its highlevel nature and enormous set of libraries has made it extremely powerful. This course will enable the student to becomefamiliar with python and how it can be used to do complex data analysis, derivative valuation, risk management andtrading strategy analysis.LEARNING OUTCOMESAt the end of this course, students will be able to: Understand how to write intermediate level code in python Enhance speed and productivity using Numpy, Pandas and Matplotlib Be able to maximise the computational performance of Python using C Object oriented programming in Python Interface python with Excel.COURSE CONTENTThe topics covered in the course will include the following Installation of Python and its libraries Use of the IPython / Jupyter notebook and Spyder Basic Python, arrays, programme logic, data types and functions Using Numpy to write fast valuation models Extracting and analysing financial market time series data using Pandas Pandas as a tool for advanced data analysis File I/O and Integrating python with Excel Databases and SQL from Python Using Matplotlib for data visualisation High performance programming in Python including optimisation Advanced mathematics in python Case Study: Valuing American options in python using Monte Carlo Case Study: Calculation of Value at Risk and CVA in python Case Study: Portfolio optimization in python Case Study: Trading strategy analysis in pythonASSESSMENT METHODSThe evaluation will be based on an exam (70%) and a group assignment (30%)10

Financial Economics Track –FINANCIAL MARKETS2019-202020 M2 NI FMK S1 CCO FIN 799: ADVANCED FINANCIAL THEORY **SEMESTER: 1NUMBER OF HOURS: 30INTERNATIONAL PROGRAMME: 3.5 ECTSCOURSE COORDINATOR MAIL: Laurent CALVETSyllabus to be completed11

Financial Economics Track –FINANCIAL

NICE ED MSc F MKT 1 OPT 3659 Research Seminar (for Student Research Team ONLY) 30 - - NICE ED MSc F MKT 1 SEM 6222 Remedial in Mathematics: Foundation of Mathematics for Finance 15 - - - - NICE ED MSc F MKT 1 SEM 1059 Programming for finance with VBA and R 15 1,5 1,5 1,5 1,5 NICE ED MSc F MKT 1 CC 744 Python for Finance 15 1,5 1,5 1,5 1,5

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