5-Day Executive Training Programme on Trading Opportunities using Financial Modelling & Algorithmic Trading

Transcription

1 5-Day Executive Training Programme on Trading Opportunities using Financial Modelling & Algorithmic Trading November 2018

2 ABOUT NSE ACADEMY NSE Academy is a wholly owned subsidiary of National Stock Exchange of India. NSE Academy straddles the entire spectrum of financial courses for students of standard VIII and right up to MBA professionals. NSE Academy has tied up with premium educational institutes in order to develop pool of human resources having right skills and expertise which are apt for the financial market. NSE Academy, which promotes financial literacy as a necessary life skill. NSE Academy's initiatives, including partnerships with state and national school boards and schools, interactive courses on personal finance and certification programs, teach school children, homemakers and other non-finance professionals the value of investing, provide an introduction to the Indian capital markets and help to develop new market professionals. ABOUT GREATER VISION Greater Vision is a professional seminars/conferences/management Development Programs organizing company based in Dubai, United Arab Emirates and has successfully organized over fifty training, seminars and conferences in twenty countries, across the world. The primary motto of Greater Vision is to organize world-class seminars/training/ symposia and international academic research conferences in selected global cities on a continuous basis. OBJECTIVE OF THE PROGRAMME Algorithmic trading is one area where developments are currently going on across the world for designing investment strategies. Market research indicates that Algorithmic trading provides liquidity to the market and ensures stability of the entire system. SEBI allowed Algorithmic Trading in India since April The automated trading accounts for significant volume (around 60%) that is traded on the bourses now. Algo trading is interdisciplinary in nature and calls for both trading skills and software proficiency. This program intends to prepare technically competent budding professionals for promising careers in the trading industry. Technological development across global markets has necessitated a multidimensional approach for designing the Algorithmic trading strategies. This course encompasses trading in various asset classes with a special focus on Futures and Options. This training program is designed to market participants who are interested in knowing this emerging technique. Anyone interested and has some background about the capital markets are most welcome to join us in the upcoming training program. PEDAGOGY Lectures, brain-storming sessions, and interactive training sessions Exposure to National Financial markets includes visit to NSE/Financial Centres Live industry examples, assignments, interaction with business leaders 2

3 Eligibility Graduates with basic knowledge of mathematical, statistical and spreadsheet applications. Any individual who has a reasonable understanding of financial markets and its participants (including traders, brokers, analysts, investors, economists, researchers, academicians, bankers, executives employed or dealing with financial markets.) Location National Stock Exchange of India Ltd Old No. 7, New No. 2, Nawab Garden,Murugappa Road, Kotturpuram, Chennai Program Fee For International participants: USD1600/- per participant including applicable taxes. For Indian participants: Rs.1,10,000/- per participant including applicable taxes. A group discount of 10% will be offered to participants on bulk enrolment comprising a minimum of three or more. Award Successful participants who are part of the Program will be awarded with a 'Participation Certificate'. Program Coordinators Mr. Vinod James, Manager, National Stock Exchange of India Ltd, Chennai. Phone: vjames@nse.co.in Ms. Aarthy, Programme coordinator, Greater Vision, Phone: and training@globalbizresearch.org Course Material Course material for the Program shall be provided by NSE Academy. Training Schedule* November 20 : Ice Breaking session & Dinner (7-9:30PM) November 21 : Training Day 1 (at IIT Madras campus) November 22 : Training Day 2 November 23 : Training Day 3 November 24 : Local site-seeing *Detailed schedule will be shared with the participants 3

4 5 Days - Executive Training Programme on Trading Opportunities Using Financial Modelling & Algorithmic Trading Course Content Financial Statement Analysis Financial Ratios Equity Research Modelling Trading Strategies Quantitative & Algorithmic Trading: History, Introduction, Pros & Cons, and Skills Basics of Statistics & Financial Markets Python basics (Hands-on, would need individual computer/laptop access with internet) System Architecture for Algorithmic Trading Popular Algorithmic Trading & Execution Strategies Strategy Performance: Understand the concepts of back-testing, performance benchmarking & optimization for quantitative trading strategies. Strategy Building: Creating a quantitative trading strategy model on Python and analyzing the output (Hands-on, would need individual computer/laptop access with internet) Understanding Colocation, Infrastructure & Exchange Connectivity Regulations & Compliance for Algorithmic Trading Risk Management: Case Studies The Future Ahead and Next Steps 4

5 5 Days - Executive Training Programme on Trading Opportunities Using Financial Modelling & Algorithmic Trading PROFILE OF SPEAKERS Nitesh Khandelwal started his career in the Banking sector on the treasury side. After a brief stint in a proprietary trading firm as a lead, he co-founded irage in Mumbai. Today, irage is one of the leading players in the Algorithmic Trading space in India. Later, when Nitesh moved to Singapore to set up a business to trade across the global exchanges. In 2016, he shifted his focus to QuantInsti as its CEO. QuantInsti has been working towards bringing knowledge and access to scientific & technology oriented trading to the masses & institutions across the globe and has already been helping its users from 130+ countries in achieving the same. He is an electrical engineering graduate from IIT Kanpur with a postgraduate degree in Management from IIM Lucknow. Prodipta Ghosh leads the Fin-tech products and platforms development at QuantInsti. Prodipta is a seasoned quant & prior to joining QuantInsti, he spent more than a decade in the banking industry in various roles across trading and structuring desks for Deutsche Bank in Mumbai & London, and as a corporate banker with Standard Chartered Bank. Before that, Prodipta worked as a scientist in India's Defence R&D Organization (DRDO). He is a graduate with a B.E. in Mechanical Engineering from the Jadavpur University and has a postgraduate degree in management from the IIM Lucknow B Gouri Sankar Associate Vice President and Head Business Development Southern Region National Stock Exchange of India Ltd. He holds the Master Degree in Business Administration in International Business from FMS- Banaras Hindu University. He has more than 13 years of experience in Indian capital markets and has worked in various roles at NSE. He has got a comprehensive knowledge and understanding of listed derivatives and Exchange traded products. His specialities include Listed Derivatives, Financial Education program designing, Product Strategy, Listing of SMEs, Stock Exchange and Depository. In his current role he spends lot of time in facilitating emerging corporates to list on the Exchange, create awareness about capital market products. 5

6 5 Days - Executive Training Programme on Trading Opportunities Using Financial Modelling & Algorithmic Trading PROFILE OF SPEAKERS Arun Kumar G Arun is an Associate Professor at the Department of Management Studies; IIT Madras is an applied researcher in the area of finance with specific focus on Corporate Valuation, Corporate Governance, and Project Finance. He also works on Stability of Long-run Relationship in Asian emerging stock markets, and Changing role of market dominance. In addition to these core areas he also works in the area of Health care. He has jointly developed a user pay-public health care model and has also implemented on the field in remote rural villages in Tamil Nadu, India. He has co-authored two books one on Management Accounting with Prof. Robert Kaplan of Harvard Business School and Prof. Atkinson of University of Waterloo; and another on Public perception of security which encompasses food and health security. He has also undertaken number of consulting assignments ranging from Multi country common resource stake-holder developmental issues, economic analysis of large infrastructure projects, organization restructuring, to risk mitigation initiatives of Central Banks in the Asian region. He is also actively involved in the training space and has worked closely with Oil & Gas companies in Asia, Investment Banks, manufacturing entities, Central Banks in the South and East Asian region on risk management and risk mitigation. Prior to joining IIT Madras, Arun worked with The Economic Times as a journalist, Management Development Institute (MDI), Gurgaon, and ICRA in the credit rating wing. The last couple of years Arun, was with the School of Management, Asian Institute of Technology, Thailand, and he rejoined IIT after the assignment in August Dr.Krishna Prasanna A doctorate in finance from the University of Madras, Dr. (Mrs) P. Krishna Prasanna has more than 23 years of teaching cum research experience at various academic institutions. She is presently Associate Professor at Department of Management Studies, Indian Institute of Technology Madras (IITM), Chennai. She has published 25 papers in national and international journals. Her Research paper titled 'Linkages in term structure of interest rates across sovereign bond markets' has been awarded as the Best Paper at the 51st Eastern Finance Association meeting held at New Orleans, U.S.A during April, She has executed sponsored research projects With ICAI, HUDCO, ICSSR and NSE and is actively involved in the training space. 6

7 REGISTRATION FORM 5 days - Executive Training Programme on Trading Opportunities Using Financial Modelling & Algorithmic Trading First Name Gender Middle Name Last Name Mobile / Landline (with ISD code) id Nationality Address for Communication Organisation with Designation Sponsored by: a) Self b) Company How did you come to know about the program: a) SMS b) c) Facebook d) NSE website e) Friends f) Greater Vision website Correspondence Address:... Programme Opted For: Date:... Payment Details:... NSE ACADEMY LIMITED Old No. 7, New No. 2, Nawab Garden, Murugappa Road, Kotturpuram,Chennai Board: Website : Vinodh James Mob: vjames@nse.co.in Greater Vision Ms. Aarthy, Programme coordinator, Phone: and training@globalbizresearch.org

8 5 days - Executive Training Programme on Trading Opportunities Using Financial Modelling & Algorithmic Trading How to Make Payment? For Indian participants: For online payments, please find below the account details: Bank Details: Bank name : HDFC Bank Type of account : Current a/c Beneficiary Name : NSE Academy Limited Account number : IFSC/RTGS/NEFT : HDFC Branch : 759, ITC Center, Anna Salai. OPP T.V.S Chennai For International participants: Option 1: Electronic Wire Transfer using SWIFT code: Please pay the conference fee using SWIFT or TT with the following details: Company Name GREATER VISION CONFERENCES & SEMINARS ORGANIZING Account Name GREATER VISION CONFERENCES & SEMINARS ORGANIZING Account Number Bank Address RAK BANK, P.O.Box: 1531, Dubai-UAE. Branch Name AL QUASIS, DUBAI. IBAN Number AE SWIFT Code NRAKAEAK Routing Code Option 2: Payment through either a) Western Union Money Transfer or b) XPressMoney or c) MoneyGram. Beneficiary/Receiver's Name: GREATER VISION CONFERENCES & SEMINARS ORGANIZING Amount Payable in UAE in Dirhams to the above RAK bank account number given in Option 1). You may use anyone of the above money transfer modes for instant remittance. Option 3: Payment of conference registration fee through PayPal In case, you would like to pay the 'conference registration fee' through PayPal, kindly inform and we would you the Paypal Invoice requesting payment.