Financial Markets - 203 - 1re année de master

Knowledge of financial markets (Core fundamental)

• Financial Derivatives Voir le detail : Financial Derivatives

  Financial Derivatives

  Ects : 3

  Enseignant responsable :
  AYMERIC KALIFE
  

  Volume horaire : 24

  Description du contenu de l'enseignement :

  The objective of this course is to give an all round comprehensive knowledge and understanding of the theory and the day-to-day use of derivatives contracts.

  This course aims at “demystifying” key derivatives products, widely used to hedge existing market risks, to speculate on the future movements of market variables or more generally to taylor the return distribution of a portfolio. Participants will learn how banks and corporate treasuries use Financial Options alike in the management of risks, for trading, hedging and arbitrage and their role in the day-to-day running of the finances of businesses.

  Starting from some basic knowledge of cash equity and equity derivatives market, and based on real option trade ideas capitalizing on a “nuanced” market view, it equips the audience with the skills to price and risk manage the most common and complex options, by explaining and dissecting the risks associated with trading a derivative from a risk/return/cost perspective by means of real life examples. For each option, from vanilla to exotics and structured products, this course makes clear why there is an investor demand, explains where the risks lie and how this affects the actual pricing, shows how best to hedge them.

  The class uses MS Excel Spreadsheet applications and Visual Basic extensively, involving the use of market data and Fixed Income Market Research publications.

   

  Course outline

  I Derivatives products features overview

  • Derivatives Markets Overview
  • Options Pricing framework

  II Capitalizing on a “nuanced” view using derivatives

  • Specific market situations where derivatives go beyond cash
  • Tailoring a derivatives strategy to a specific market situation and fundamentals
  • Capitalizing on a risk/return/cost profile using derivatives: from protection to yield enhancement derivatives strategies

  III Arbitraging using derivatives

  • Asymmetry between market rise and fall: “the skew”
  • Short-term crash fears: jumps and “fat tails”
  • Long-term uncertainty: volatility term structure trades

  IV Hedging using derivatives

  • Dynamic hedging: “Delta hedging” using Futures (discrete hedging & transaction costs, Delta Greek features -vs. stock level, time, “shadow delta”)
  • Static hedging: trading “Gamma and Vega hedging” using options (Gamma & Vega Greeks features, illustrations of Gamma-Vega hedging)
  • P&L and hedging issues (Gamma-Theta P&L computation & pattern, impact of option maturity and Time decay, P&L and Options portfolio rebalancing frequency)
  • Stylized facts of volatility empirics

  Coefficient : 1.5

  Mode de contrôle des connaissances :

  Grading: Homeworks (trade idea on corporates,

  VBA project on options portfolio) + Final Exam

  Bibliographie-lectures recommandées

  John C. Hull: Options, Futures,& Other Derivatives, Prentice Hall

  Paul Wilmott: Derivatives: The Theory and Practice of Financial Engineering

  Sheldon Natenberg: Option Volatility and Pricing: Advanced Trading Strategies and Techniques

  Nassim Nicolas Taleb: Dynamic Hedging: Managing Vanilla and Exotic Options

   

• Fixed income I Voir le detail : Fixed income I

  Fixed income I

  Ects : 3

  Enseignant responsable :
  ARNAUD LEVY RUEFF
  

  Volume horaire : 24

  Description du contenu de l'enseignement :

  The course aims to offer students a broad understanding of the fixed income products, both qualitatively and quantitatively. Relative prices of assets will be studied in the context of arbitrage relationship. The course will also present the market organization as well as its culture, and main characters.

  The design and implementation of ‘dealing room alike’ spreadsheets will illustrate the theories and models outlined. Particular emphasis will be given to pragmatic thinking in order for students to focus, in context, on the relevant details.

   

  Fixed income 101: starting up with the concept of actualization Understand actualization curves and learn how to select the most appropriate one upon specific contexts.

  Fixed income at a glance: needs for financing, basic products and market organization What you should know about issuers, investors, intermediaries and their respective interactions

  Bonds and loans: the center of the fixed income galaxy Price and compute risks for the main styles of debt instruments using actualization and credit curves

  Hedging the risks with swaps and more: how to select and price interest rate and credit derivatives Anticipate risks thanks to interest rate models. Use and price derivatives for hedging or speculation.

  Building and analyzing fixed income portfolios: a quantitative approach Compare actuarial and statistical approaches for ex ante and ex post fixed income portfolio analysis

  Setting up fixed income arbitrage strategies: from the mindset to the know-how. Understand the taxonomy of arbitrage strategies and get ready for practical implementation

  Nonlinear fixed income products: volatility and correlation products Learn about the main fixed income nonlinear products and their pricing basics

   

  Coefficient : 1.5

  Mode de contrôle des connaissances :

  80% Final written exam 20% involvement in class and workshops/homework

  Bibliographie-lectures recommandées

  Technical

  Fabozzi, F. J., The handbook of Fixed Income Securities, McGraw-Hill Education, 8th edition, 2012, 1840p.

  Hull, J. C., Fundamentals of futures and Options Markets, Pearson, 9th edition, 2016.

  Inspirational

  Thorp, E. O., A man for all markets, 2017, Random House, 416p.

  Zuckermann, G., The Greatest Trade Ever, 2009, Crown Business, 306p.

  Lowenstein, R., When Genius failed, 2001, Random House, 291p.

  Taleb, N., The Black swan: The Impact of the Highly Improbable, 2007, Random House, 436p.

• International finance Voir le detail : International finance

  International finance

  Ects : 3

  Enseignant responsable :
  EVGENIA PASSARI
  

  Volume horaire : 24

  Description du contenu de l'enseignement :

  The aim of this module is to provide a thorough foundation of the key concepts in international finance with a focus on exchange rate economics. The module begins with an overview of the institutional characteristics of the foreign exchange market and subsequently examines the fundamental determinants of exchange-rate dynamics. By the end of the course the students will be familiar with both the theoretical models and the empirical evidence regarding exchange-rate behaviour. Emphasis will be given to the implications of these outcomes for exchange rate forecasting, international diversification and investment decisions.

   

  Course outline

  • Week 1: Foreign Exchange Market Structure
  • Weeks 2 and 3: Foreign Exchange Market Eficiency
  • Weeks 4 and 5: Real Exchange Rate and Purchasing Power Parity
  • Week 6: Balance of Payments
  • Weeks 7 and 8: Exchange Rate Determination

  Coefficient : M1 Finance - FI : Coefficient 0.5 and M1 Financial Markets : Coefficient 1.5

  Mode de contrôle des connaissances :

  Mid-term (30%) and final exam (70%).

  Bibliographie-lectures recommandées

  General

  Bekaert, G. and R.J. Hodrick (2009). International Financial Management. New Jersey: Pearson Education.

  Sarno, L. and M.P. Taylor, (2005), The Economics of Exchange Rates, Cambridge University Press.

  Specific

  Week 1

  • Bekaert and Hodrick, Ch. 2 & 3.
  • King, M.R., Osler, C. and D. Rime (2012). Foreign Exchange Market Structure, Players and Evolution, in James, Marsh and Sarno (eds.), Handbook of Exchange Rates, Wiley.
  • Foucault, T., Kozhan R. and W. Wah Tham (2017). Toxic Arbitrage Review of Financial Studies, 30, 1053-1094.

  Weeks 2 and 3

  • Bekaert and Hodrick, Ch. 6 & 7.
  • Akram, Q.F., Rime, D., and L. Sarno (2008). Arbitrage in the Foreign Exchange Market: Turning on the Microscope, Journal of International Economics, 76, 237-253.

  Weeks 4 and 5

  • Bekaert and Hodrick, Ch. 8 & 9.
  • Marsh, I., Passari, E., and L. Sarno (2012). Purchasing Power Parity in Tradable Goods, in James, J., L. Sarno and I.W. Marsh (eds.) Handbook of Exchange Rates, London: Wiley.

  Week 6

  • Bekaert and Hodrick, Ch. 4 & 5.
  • Rey, H. (2013). Dilemma not Trilemma: The Global Financial Cycle and Monetary Policy Independence, Federal Reserve Bank of Kansas City Economic Policy Symposium.

  Weeks 7 and 8

  • Bekaert and Hodrick, Ch. 10.
  • Mark N. C. (1995). Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability, The American Economic Review, 85, 201-218
• Investment and financial markets Voir le detail : Investment and financial markets

  Investment and financial markets

  Ects : 6

  Enseignant responsable :
  FABRICE RIVA
  

  Volume horaire : 36

  Description du contenu de l'enseignement :

  The objective of this course is to acquaint students with the concepts that are key to understand the functioning of capital (mostly equity) markets.

  The course is divided in five parts.

   

  Part 1 is about the organization of trading. The structure of European Stock Exchanges has been considerably evolving over the last 20 years. These evolutions have been fostered by the progress made in information technologies and the changes in the European regulatory environment. Open-outcry markets have been progressively replaced by computer-assisted trading markets. Stocks can now be traded continuously, new trading protocols such as MTF (Multilateral Trading Facilities) and Dark Pools have emerged, real-time remote access to markets has been made possible, high frequency trading has become more prevalent (latency times are now lower than 1 millisecond) while trading costs have experienced a dramatic decline. The financial intermediation profession has been evolving too. ISD (Investment Services Directive) constitutes a major change for the European regulatory environment. The concentration of orders on a single stock exchange is no longer mandatory and former national monopolistic stock exchanges must now compete with new entrants. Euronext market share has dropped from 100% to less than 50% as stocks of major European companies can now be traded on several trading venues. To gain understanding in the recent trends that characterize the stock exchange industry it is important to understand where transaction costs (both explicit and implicit) and liquidity arise from. This will be the subject of the first part of the course with a particular focus on the evolution of the Paris stock exchange.

   

  Part 2 covers the core concepts of return, risk and the optimization of the risk-return tradeoff through efficient portfolios. After introducing the definition of returns (discrete and continuous) and various risk measures (volatility and Value at Risk – VaR) for single assets, the course moves to the analysis of the joint behavior of assets when these are combined into portfolios. This will allow student to understand the benefits of diversification, which is a first step towards the computation of efficient portfolios through the Markowitz’s program and the determination of asset efficient frontier.

   

  Part 3 is about how investors account for risk in their investment decisions. This part shows how to characterize risk aversion and how risk aversion is accounted for in equilibrium. This part allows to establish the expression of the CAPM (Capital Asset Pricing Model) and, after highlighting some limitations of this model, to introduce multi-factor pricing models (essentially Fama and French 3-factor model).

   

  Part 4 analyzes how information is incorporated into prices. The erratic behavior of stock prices may cast doubt about their actual meaning. Do stock prices convey valuable information? Is there an incentive for firms to be publicly-traded? On an informationally-efficient market, the expected gain from price forecasts is equal to 0. Is it the case? Although there exist so-called market anomalies (abnormal returns), further examination of abnormal returns shows that these arise mostly as a form of compensation for hidden costs (transaction costs, information costs) and risks.

   

  Part 5 is more practical as it illustrates how the concepts developed in parts 1 to 4 can be used by decision makers. We will focus on investment decision, financing decision and portfolio managers performance measurement.

   

  Course outline

  Introduction : The Role of Financial markets

  PART I: Stock exchanges and their organization

  • Markets and their structure
  • Organization of trades
  • Liquidity and transaction costs
  • The role of regulation and technology

  PART 2: Risk and return

  • Stock market indices
  • Calculating returns
  • Risk of a single asset
  • Risk of a portfolio
  • Portfolio theory

  PART 3: Attitude toward risk, market equilibrium and asset pricing models

  • Attitude towrad risk
  • Risk-free asset and 2-fund separation theorem
  • CAPM
  • Beyond CAPM (Multi-factor models)

  PART 4 : Market efficiency and price anomalies

  • Information efficiency
  • Sources of efficiency
  • Characterization of efficient prices
  • Three forms of efficiency
  • Tests of efficiency
  • Anomalies and behavioral finance

  PART 5: Applications

  • Performance measurement
  • Capm and the cost of capital
  • Investment decision

  Coefficient : 1

  Pré-requis recommandés :

  Though there will be brief reminders during the classes of the mathematical and statistical tools that are needed to understand the various concepts used in the course, students must have some prior knowledge of the following concepts: calculus (derivatives, Taylor expansion), probability (discrete and continuous variables, moments, covariance, correlation), statistics (sample estimators, linear regression), linear algebra (matrix operations) and optimization (Lagrangian).

  Compétences à acquérir :

  Course objectives:

  • To understand the functioning of markets, trading costs, and liquidity
  • To understand the concepts of risk, diversification, and portfolio theory
  • To understand asset pricing models
  • To understand the incorporation of information into prices and how prices behave in efficient markets
  • To understand how to use asset pricing models for fund performance evaluation, firm valuation, and investment decisions

  Mode de contrôle des connaissances :

  12 3-hour classes. Practical examples and solutions to exercises in class.

  Grading: mid-term exam (50%) and final exam (50%).

  Bibliographie-lectures recommandées

  Class handouts are downloadable from course webpage on MyCourse

  Bodie Z., A. Kane, A. Marcus, 2014. Investments. McGraw-Hill, 10th ed.Harris, L., 2003. Trading and Exchanges: Market Microstructure for Practitioners. Oxford University Press.

  Harris, L., 2003. Trading and Exchanges: Market Microstructure for Practitioners. Oxford

  University Press.

  Hillier D., Grinblatt M. and S. Titman, 2011. Financial Markets and Corporate Strategy. Irwin-Mc Graw Hill, 2nd European edition.

  Madura, J. 2015. Financial Markets and Institutions. South Western, 11th ed.

Modelling of financial Markets (Core fundamental)

• Financial Econometrics I Voir le detail : Financial Econometrics I

  Financial Econometrics I

  Enseignant responsable :
  GAELLE LE FOL
  

  Volume horaire : 24

  Description du contenu de l'enseignement :

  This course is an introduction and/or refresher course in Econometrics that focuses on techniques for estimating regression models, on problems commonly encountered in estimating such models, and on interpreting the estimates. The goal is to provide participants with the basic skills and knowledge necessary to undertake empirical research and to prepare them to the advanced course in Econometrics of Financial Markets. If Gretl will be the econometric software used in the course, it is possible to use R.

  Course outline

  • How to build an econometric model and how to use it?
  • The (simple and multiple) linear regression model
  • Inference, hypothesis testing and prediction
  • Specification and diagnostic testing (heteroskedasticity, autocorrelation, model specification)
  • Selection criteria
  • Alternative to OLS (2SLS, ML, GLS, Quantile regression)

  Coefficient : 3 ECTS / Coefficient 1.5 ==> M1 Financial Markets

  Pré-requis recommandés :

  First course in programming

  Pré-requis obligatoire :

  Mathematics and Statistics (bachelor level)

  Compétences à acquérir :

  Theoretical and practical knowledge of linear regression models estimation technics. Being able to set up an econometric analysis.

  Bibliographie-lectures recommandées

  • Adkins L. C., learneconometrics.com/gretl/using_gretl_for_POE5.pdfUsing gretl for Principles of Econometrics, Version 1.041, August 2018, Free copy;
  • Brooks C., Introductory Econometrics for Finance, Second Edition, Cambridge University Press, 2014 ;
  • Gelman A., J. Hill and A. Vehtari, 2021, Regression and Other Stories, 1st Edition, Cambridge University Press, 2021;
  • Gujarati D., Basic Econometrics, McGraw Hill Higher Education; 5th Revised edition edition, 2009 ;
  • Hill C., W. Griffiths and G. Lim, Principles of Econometrics, Wiley, 5th Edition, 2018 ;
• Derivatives pricing & Stochastic calculus I Voir le detail : Derivatives pricing & Stochastic calculus I

  Derivatives pricing & Stochastic calculus I

  Ects : 3

  Enseignant responsable :
  GUILLAUME ANDRIEUX
  

  Volume horaire : 24

  Description du contenu de l'enseignement :

  The purpose of this course is to expose students to a rigorous understanding of dynamic stock models and derivative securities. It introduces mathematical concepts to learn the fundamentals of pricing and hedging both in discrete and continuous time, which are essential for future practitioners in many fields of market finance.

   

  This course plans to be self-contained, and the first chapter presents the relevant concepts of probability theory used afterward. However, students are advised to have a basic knowledge of probability theory, and such preliminary material is not included in this course. Chapter 2 focuses on the rigorous mathematical definition of arbitrage opportunities, leading to basic financial derivative valuation techniques. After a study of option pricing in a single period and multiperiod binomial models (Chapter 3 and 4), we introduce in Chapter 5 stochastic calculus tools such as Brownian motion, stochastic integrals and Itô's formula. Chapter 6 presents the Black Scholes model, and Greeks computation.

   

  A support class is offered to M1-level students. The purpose of this support course is to illustrate and apply the notion studied in the 'Derivatives pricing and stochastic calculus 1' course. After a quick review of the key concepts presented in class, the course will focus on using these concepts in diverse financial applications to gain a better practical understanding of them.

   

  The outline of the 'Derivatives pricing and stochastic calculus 1' course was followed to facilitate the synergies between both courses.

   

  Course outline

  • Basics on probability : Random variable, expectation, variance, law, density, Gaussian law, ...
  • Arbitrage : No arbitrage opportunity conditions, Call Put parity, American call, Forward contracts.
  • A toy example: the Binomial pricing model. Model dynamics, Risk neutral pricing, Market completeness.
  • Introducing dynamical strategies: multi-period binomial models. Portfolio strategies, asymptotic behavior with the number of periods
  • Modelling the market randomness: the Brownian motion. Characterizations, quadratic variation,Geometric Brownian Motion, Merton vs. Bachelier
  • Introducing portfolio dynamics: stochastic integration and Ito formula. Ito calculus, continuous trading strategies, stochastic differential equations
  • The reference in continuous time: Black & Scholes,Model dynamics, Risk neutral pricing, Greeks computation.The price as the solution of a partial differential equation, Volatility calibration and estimation.Monte Carlo methods vs. Numerical PDE approximation.

  Outlines for the support course:

  • Arbitrage: NAO, different kind of forward contracts, Call-spread, Butterfly Binomial model: Exotic options, a first step to delta hedging
  • Modelling the market randomness: analysis of random processes and their covariance structure
  • Introducing portfolio dynamics: applying Ito formula to diverse processes The reference in continuous time: Black & Scholes and change of probability measure

  Coefficient : 1 final exam<br /> <br /> Catching up ... Read “All the Math you need” and the beginning of ”Elementary Stochastic Calculus” of “<br /> Paul Wilmott Introduces quantitative Finance”, Willmott P, 2nd Edition, Wiley. 2007. 1.5

  Compétences à acquérir :

  Master regulation historical evolution, ethics problems in financial markets and their consequences on the recent codes of conduct, and the main compliance concepts applied in a Corporate& Investment Bank

  Bibliographie-lectures recommandées

  - Back K. , A Course in Derivative Securities: Introduction to Theory and Computation. Springer Science Textbook, 356 pages. 2006. (Part 1)

  - Lamberton D. and B. Lapeyre, Introduction to Stochastic Calculus applied to finance, 256 pages. 2007.

Professional competencies (Core fundamental)

• VBA Programming Voir le detail : VBA Programming

  VBA Programming

  Ects : 3

  Enseignant responsable :
  TETE KAIZA AMOUH
  

  Volume horaire : 24

  Description du contenu de l'enseignement :

  Course objectives

  The course is designed to cover a range of derivatives pricing algorithms, from the modeling techniques to practical applications using VBA in Excel.

  Course outline

  1. Initializing with Excel and VBA functions

  • Useful Excel functions
  • Introduction to VBA
  • Building first application in VBA

  2. Black-Scholes model

  • Classic Black-Scholes formula
  • Put-Call parity
  • "Greeks" computing

  3. Other computational methods

  • Binomial method in option pricing (Cox, Ross and Rubinstein method and "Greeks" in binomial trees)
  • Monte-Carlo simulation (Random generator, Stock price simulation and Monte-Carlo method and variance reduction)

  4. Volatility and beyond

  • Historical volatility
  • Implied volatility
  • Numerical methods

  Coefficient : 1.5

  Compétences à acquérir :

  Master VBA programming of basic derivatives pricing models

  Mode de contrôle des connaissances :

  1 final exam and 1 complete assignment.

  Bibliographie-lectures recommandées

  Jackson M. and M. Staunton, Advanced modelling in finance using Excel and VBA, Wiley, 2001.

• Careers in Finance Voir le detail : Careers in Finance

  Careers in Finance

  Ects : 3

  Enseignant responsable :
  Nadia TORTEL
  

  Volume horaire : 12

  Description du contenu de l'enseignement :

  Graduate Assessment Process :

  • description of recruitment process in Financial Services
  • Competency-Based Interviews
  • Assessment Centers, ...

  Mock Interviews (interview training): A 3 minute pitch (to tell who you are and

  why you are the perfect candidate for a specific position) followed by Q&A

  and feedbacks

  Financial market seminar: 1 hour presentations by professionals

  Compétences à acquérir :

  The objective of the course is to prepare students to recruitment processes in Financial services. The first part concerns the graduate assessment process. It is followed by mock interviews. It is completed by a "financial markets" seminar that contains testimonials from former students from the master 203 who will come to share their experiences.

• Ethics, Professional standards & Compliance Voir le detail : Ethics, Professional standards & Compliance

  Ethics, Professional standards & Compliance

  Ects : 3

  Enseignant responsable :
  ALEXANDRE LEDUC
  PHILIPPE NARDONE
  NICOLAS RAYMOND
  ANNE BELMONT
  

  Volume horaire : 24

  Description du contenu de l'enseignement :

  Introduction course

  Part 1. Ethics and Professional Standards

  The objective of this course is to understand the importance of ethics and professional standards when conducting business in the financial sector. It offers a pragmatic approach of ethics in finance, pointing out some of the recent issues that emerged since the financial crisis.

  To begin, we analyse some of the recent codes of conduct issued by the finance industry as well as CFA Institute® Code of Ethics and Standards of Professional Conduct; we then turn to concrete issues such as rate-rigging, toxic assets or liabilities, product structuring, investor protection, as well as some of the recent regulation. Topics are covered through presentations in class, student presentations, exercises and case studies. Student presentations will be presented in class under a pre-set format; they count towards the participation grade.

   

  Part 2. Global Compliance

  The main objective for this course is to give a global overview on the main Compliance concepts applied in a Corporate & Investment Bank, and to emphasize the latest developments in the regulatory environment.

  Course outline

  Introduction Course: Regulation today - for a better understanding of Ethics and Compliance

  Part 1. Ethics and Professional Standards

  Session 1- Definitions of ethics & standards. Ethical decision making

  Session 2- What do Codes of Ethics and Codes of Conducts tell us?

  Session 3- FX and Libor rate-rigging & other Benchmarks

  Session 4- Toxic Assets and Liabilities

  Session 5- Investor Protection, why does it matter?

  Session 6- Product Governance, why does it matter?

  Session 7- Market related issues

  Session 8- Dealing with retail or unsophisticated investors

  Part 2. Global Compliance

  I - Course Introduction : DEFINING INTERNAL CONTROL & COMPLIANCE

  • Why compliance and controls?
  • Compliance : trying to find a definition
  • Defining Internal control
  • Risk mapping methodology

  II - Financial Security

  • The European 3rd and 4th Directives : a major impact for banks
  • Focus on international sanctions and OFAC

  III - Conduct Risk

  III.1 - Market abuse

  • Market manipulation
  • Insider trading
  • Privileged vs confidential information
  • Market abuse prevention rules
  • From MAD1 to MAD2
  • Personal account dealing

  III.2 - Reinforcing transparency : focus on the MIFID2 regulation

  • Why and How : MIFID 1
  • From MIFID 1 to MIFID 2

  III.3 - Fight against corruption and fraud

  • Fight against corruption (includes new Loi Sapin 2)
  • fraud prevention

  Coefficient : 1.5

  Compétences à acquérir :

  Deep understanding of careers, opportunities and recruitment processes

  Mode de contrôle des connaissances :

  Participation and Final exam

  Bibliographie-lectures recommandées

  CFA Institute® Code of Ethics and Standards of Professional Conduct.

  CFA Institute® Standards of Practice Handbook, 2014 edition.

  Lewis, M.,The Big Short, 2011.

  Lewis, M., Flash Boys, 2014.

  O’ Malley, C., The Story of the Eurobond Markets (ch. 10-11), 2015.

   

  Third AML Directive 2005/60/EC replaced by Directive (EU) 2015/849 of the European Parliament and of the Council of 20 May 2015 on the prevention of the use of the financial system for the purposes of money laundering or terrorist financing

  Markets in Financial Instruments Directive 2004/39/EC (called MIFID 1) and Directive 2014/65/EU of the European Parliament and of the Council of 15 May 2014 on markets in financial instruments called MIFID 2

  Directive 2003/6/EC of the European Parliament and of the Council and Commission Directives (MAD /MAR 1) replaced by Directive 2014/57/EU (MAD2) on criminal sanctions for market abuse and Regulation No 596/2014 on market abuse (MAR 2)

• Training for Interviews in English Voir le detail : Training for Interviews in English

  Training for Interviews in English

  Ects : 3

  Enseignant responsable :
  HELEN EINSARGUEIX
  

  Volume horaire : 18

  Description du contenu de l'enseignement :

  This English as a foreign language course not only attempts to improve the students' fluency in English but also explores the attitudes and expectations of a cross-cultural American and English job interview in finance. Rather than inculcating a litany of identical and stereotypical answers to interview questions, it will focus on revealing the personality and character of the candidate. Each student hones his English story-telling skills so as to persuasively communicate the singular passion and enthusiasm that drive him and make a memorable impression on the jury.

  Course outline

  A pragmatic and empirical approach that gives students ample opportunity to define themselves along the following lines, using self assessments and pragmatic hands on exercices:

  • Tell me about yourself
  • Emotion, passion & enthusiasm
  • Brick walls & success stories
  • Cross cultural experience
  • Brain teasers
  • Mock Interviews & group exercise preparation
  • The virtual meeting
  • Technical knowledge of the industry
  • Group and individual presentation preparation

  Coefficient : 1.5

  Compétences à acquérir :

  Understanding the expectations of international recruiters, themselves and the body langage.

  Mode de contrôle des connaissances :

  The final exam is a presentation on a specific subject that will be given 3 weeks in advance and will measure the students' proficiency in English as well as their ability to present themselves in a professional capacity.

Professional competencies (Core fundamental)

• Internship Voir le detail : Internship

  Internship

  Ects : 6

  Description du contenu de l'enseignement :

  Students of the Master 203 (M1-level) are available for internships beginning in January. A minimum of 4 months of professional internship is required or equivalent (Summer internships are considered as equivalent).
• Master Thesis Voir le detail : Master Thesis

  Master Thesis

  Ects : 24

  Description du contenu de l'enseignement :

  The goal is to write a Master thesis that links what you have learned during your degree, what you will learn in the books or journal articles on the subject you have chosen to write about, and what you will learn from your experience with professionals in the context of your courses and/or internship.

  Coefficient : 15

  Compétences à acquérir :

  The ILOs are to review and delineate a subject, to identify an original angle and develop an argument, to construct a relevant bibliography, to synthesize the important documents, to make use of both theoretical (studied in class) and practical knowledge (gained through your internship), and to think critically and to suggest directions for further research. And finally, to produce an interesting, well-written and synthetic document.