Monday, March 12, 2012

Bloomberg Aptitude Test Prep Online Course

Bloomberg Aptitude Test (BAT) Prep Online Course (20 hours course)

Strategically built course to crack the BAT exam.


Note: Bloomberg Aptitude Test (BAT) was earlier known as Bloomberg Assessment Test.


Link to the course




Course highlights:
  • One on One classes available.
  • Demo class can be scheduled as per convenience.
  • Helps to crack BAT Exam that helps you to land a top Interview.
  • Not just BAT, this course also helps in your preparation for other exams like CFA & FRM.
  • Get Knowledge about latest news & get much needed knowledge of various fields/topics of finance.
  • Get access to live, recorded, doubt clearing classes along with materials & tests to crack BAT.
  • Increased focus on aptitude part according to new BAT.

Language of Instruction - English. 


COURSE STRUCTURE

Class No.
Topic
Duration
1
Strategy to take Bloomberg Assessment test
(1 hr)
2 & 3
FRA/Corporate/Equity Valuations/Ratios
(4 hrs)
4
Investment Banking
(2 hrs)
5
Bloomberg terminal
(1 hr)
6 & 7
Bond/Fixed Income Market/Derivatives
(4 hrs)
8
Economics revision/Federal Reserve
(2 hrs)
9
Interpreting Market News
(2 hrs)
10
Analytical Reasoning
(2 hrs)
11
Revision/Extra session
(2 hrs)


Areas of focus:
  1. Sensitization on derivative, quant, fixed income, portfolio, VAR modeling.
  2. Introduction to all features of Bloomberg Terminal.
  3. Provide introduction about all profiles in Finance.
  4. Right mix of data analytical, ethics & finance concepts.
  5. Examples with real data to enhance your IQ (US Municipal Bonds).
  6. Under the applicability and use on Bloomberg or Reuters websites (Introduction to tickers, RIC).
  7. Real life examples & real cases which are currently hot in the market.
  8. New Interpretation, terminologies & basic IQ for the subject covered.
  9. Along with financial aspects, increased focus on Aptitude section according to new BAT. 
  10. Investment Banking questions (synergy, leverage buyout and IPO not covered with much details in CFA).
  11. News Interpretation of Bond Markets (names of US based bonds, in general credit risk is a famous area to understand yields and spreads).
  12. Practical questions on financial markets.

Important points of the course:
  1. Highly flexible and tailored as per needs of individual.
  2. Sensitization on derivative, quant, fixed income, portfolio & VAR modeling.
  3. Gives introduction to all features of Bloomberg Terminal.
  4. Provide introduction about all profiles in Finance.
  5. Helpful for passing FRM, CFA & other Finance certification exams.
  6. Prepares for career advancement in financial analysis.
  7. Helpful for MBA Finance aspirants.

COURSEWARE

      Tutorials - 46        Class Recordings - 45        Tests - 61


      WHAT WE OFFER

      Live Classes - Scheduled for weekends ----- Doubt Clearing Classes - As per convenience ----- Free Demo Class ----- One on One Classes also available.


      About the instructor:
      • Got 68% score in BAT (among 90 percentile globally).
      • Cleared CFA Level 1 & FRM Level 1 Exams.
      • Have immense experience in online teaching (more than 2 years).

      BAT Exam Structure:

      Bloomberg Aptitude Test (BAT) consists of 8 sections with 100 questions to be answered in 2 hours.

      Source: Bloomberg Institute




      • News Analysis – Consists of 12 questions designed to assess the capability to use information from news articles. 
      • Economics – Consists of 12 questions designed to assess the application of Economic Concepts. 
      • Math Skills – Consists of 14 questions designed to assess the broad-spectrum math skills, with an emphasis on finance related math. 
      • Analytical Reasoning – Consists of 12 questions designed to assess the problem solving ability. 
      • Financial Statement Analysis – Consists of 12 questions designed to assess the basic understanding of financial statements.
      • Investment Banking – Consists of 12 questions designed to assess how one applies the fundamental principles of financing & strategic advisory performed by an Investment Banking. 
      • Global Markets – Consists of 14 questions designed to assess familiarity with a broad range of concepts, current events, and trends in the global financial markets that are presented in the media.
      • Chart & Graph Analysis - Consists of 12 questions designed to assess your ability to interpret & use information found in charts & graphs.



      Strategy To Crack BAT: Leave no weakness: Importance of balance --- Have it all ready for the exam --- Play time bound game --- Explore public files.




      Quant & Verbal:
      • Logical Reasoning
      • Quant
      • Verbal
      • Strategy for geometry, probability, reading comprehension, critical reasoning, table formation.
      • 1 set of questions.
      About Bloomberg Terminal:
      • B-terminal (ticker) data from Bloomberg
      • Reuter RIC.
      • Importing on excel.
      • Shortcuts.
      • Basic idea about terminals like Factset, capital IQ, etc.
      News Analysis:
      • News of Financial Markets.
      • Chart of the day.
      • Importance of Federal Reserve and market direction.
      • Reading bloomberg.com & Reuter.com.
      Advanced Equity Valuation:
      • Sector to understand: Oil & Energy vs. Technology vs. Healthcare etc.
      • Adjustments & apple-apple comparison of intra sector Companies.
      • FCFE & FCFF for valuation.
      • Making Projection: Element by Element.
      • Intuitive understanding of formula EV/EBITDA.
      • Computing CFO from various methods.
      • Equity CFA L2.
      Investment Banking:
      • EV/EBITDA
      • Transaction vs. Trading multiple
      • Rating effect on spreads
      • Share buy back
      • Monte Carlo
      • Effect of P/E on acquisition
      • Synergy
      • Google buying Motorola (specials on patents)
      • IPO (Facebook)
      • Corporate Finance CFA L2
      CFA Level2:
      • Equity (transaction vs. trading multiples).
      • Corporate Finance: corporate action.
      • Financial Reporting Analysis: Consolidation.
      • International economics.
      • Cash flow calculations.
      • Mistakes improvement.

      Playlist:

      http://www.youtube.com/playlist?list=PL_-KSXJS5pxMzB6qMOBlJDaWy30xYxDuc




      Uploaded by Shivgan on WizIQ Tutorials

      One on One Customized Training:
      qcfinance.in believes in personalized touch so that our clients are completely satisfied with our service. In this regard, we offer One on One Customized Training to our clients.
      These Trainings are provided on request by our clients & are customized according to their individual needs.
      The course structure & timings for these training are highly flexible, classes are scheduled as per the convenience of our clients.


      Other Courses on offer:


      Get 50% Discount on VBA for Financial Engineering/MATLAB for Financial Engineering Courses when you join the BAT Exam prep course.


      Contact Us for More details: info@qcfinance.in

      Friday, March 9, 2012

      Review and Research Areas in: Algorithmic Trading, Neural Network, High Frequency Trading for Forex


      Abstract: In this article I will talk about some research areas that are very important in financial research. Trading has evolved with new tools, methods and implementation ideas which are talked about in this article.

      Introduction:
      Finance field is evolving and new instruments are being introduced each year.

      In this post I will talk about a review of my findings on two areas:
      1. High freq trading and Algorithmic Trading (MATLAB, C++, Python, etc)
      2. Neural Networking, Genetic algorithms in Finance (I Prefer MATLAB)
      3. Financial Engineering models for Reinsurance (Actuarial tools, not present)

      I read some books in the subject and will talk about my findings in the subject.
      I will be posting some review in April on review of these 3 areas, and possible a literature review of last 2 years. Algo trading is back-tested in any tool like MATLAB or VBA but C++ is the best tool to implement Algo trading. I have downloaded and read some stuff regarding the same which I will put into perspective.

      I read about it somewhere that most of the algo trading is done on FX and Commodities. I will add some part here as I get more about it.


      I will try to add the research I am doing on how to get into Algo trading career. Of-course as the name suggests is is computational finance.


      Forex trading strategy and Quant Finance applications
      With this regard I will expand more on Forex trading. When I opened an account on the Forex Trading platform it gave all those technical analysis things and also some bits of signal engineering and neural network.
      Here is one way to understand things from what I have been reading, the impacts and analysis is based on:
      1. Normal News on Economy and War (Minor news have very strange effect)
      2. Major Event
      3. Technical Analysis
      4. Supply Demand (to understand what the 13 big banks are doing)
      5. Advanced Quant (Artificial Intelligence, custom neural network models, signal engineering, etc)
      6. Relation between Gold, S & P, Crude and others on Forex Prices
      7. Relation of real daily trade, derivatives, options, and swaps being played around
      8. Major issues still remain as momentum 
      9. Greeks modified for price and made into a form used here
      10. Parities and linkages of risk free options for big banks (like currency arbitrage)
      So there are lot of things.

      Euro Dollar trading strategy part 2:
      1. Interest rates and inflation
      2. Real products being purchased
      3. Banks bonds traded and other complex movements
      4. Credit default swap
      5. Effect of other currency
      6. Drift and diffusion of movements in the chart
      7. Trade items list
      8. Which banks are playing games?
      9. FII FDI inflows
      10. Which are big investment banks that move money here and there, like Goldman
      11. Effect of crude oil prices on both countries
      12. Trade deficient of either
      13. Different between sentiment of people vs real trade of real times going on in the market 

      After this you can use all these macro economics factors that your learn in CMT for technical analysis.

      I was going through these 2 certifications for Technical Analysis which proves very handy in this regard:
      1. Certified Financial Technician (CFTe) « IFTA
      2. Chartered Market Technician MTA

      These two might prove useful for those who wish to go in technical analysis and there are some training courses in India that might help you to get in these. A post has been written exclusively on these 2.


      Conclusion:

      Most of rules of Finance are governed by economics and arbitrage. In this regard what we do study in Eco in CFA L1&L2 and arbitrage which is mathematically derived and expanded through various mathematical models shows us that some movements are bound to occur. In this regard we have market technicians who again have idea when there will be profit booking and older points of arbitrages. In totality one needs a good coverage of an entire scope and domain of Finance to get these concepts.
      • A CFA might not be aware of Quant and Risk Norms which a SOA/FRM might know
      • An FRM might not be aware of economics and Equity which again plays an imp role in analysis
      • Both of the above have no idea about technical analysis which a CMT might be knowing
      • All of the above might not be knowing about history, philosophy of big players and global politics

      Hence to excel in trade you must have all these ideas embedded in you on how things work.


      Some Calculation and views on Euro/USD forex trading:
      0.00070 is the biggest movement in the normal day (26th March), which means that as many people who have money at that rate is selling.It might be because when the price goes down some transaction may take place which is very big, in probably 100 thousands. Now those who want to do big will break the transaction and do it slowly, where daily traders will a change to come into play. Here it becomes all technical analysis like important of daily low, weekly low, monthly low, direction, support etc.

      Satyadhar


      References:
      http://www.utstat.utoronto.ca/sjaimung/teaching.htm
      http://www.utstat.utoronto.ca/sjaimung/research.htm

      Friday, February 3, 2012

      FRM Valuation and Risk Models [Learn Implementation on R / MATLAB]

      FRM Valuation and Risk Models 

      Research areas:
      1. Binomial trees (2 level are given, but they are easy, no real derivations are required)
      2. Delta Hedging (It uses a part of Black Scholes and is interesting)
      3. Coherent Risk
      4. Black Scholes (80% intricacies in Derivative world is about this formula, and also used in Greeks, Greek is an area of research)
      5. Worst case distribution 
      6. We should have Neural network,Genetic algo, programming, detailed distributions for Monte Carlo, actuarial etc in this FRM but we donot have so still exam is manageable for those who have never studied quant. Probably these things are there in SOA exams.

      Risk Neutral Approach using binomial tree, single step model

      VAR and Risk models is an area that is different from the routine CFA syllabus which overlaps. Here the two important areas what I liked are:
      Delta Normal Method, Linear and Non-Linear in VAR1
      Expected and Unexpected Loss in VAR2

      Some tough questions tough areas for FRM Level 1:
      1. Inverse floater duration and convexity 
      2. MBS convexity
      3. Cheapest to Deliver 
      4. Required return on bond the weird formula (was unseen to me)
      5. VAR Correlation and different calculation methods (same as correlation)
      6. VAR is then linked to currency 
      7. Playing bonds and Duration and balancing the things

      These 2 areas were not very clear while I read them so I will try to add some more stuff on these 2 areas.


      Quant Risk Job looks like this:

      Capital & liquidity modeling
      Market risk stress testing
      Counterparty risk, VaR and exposure modeling
      AMA modeling/ Operation Risk identification and measurement
      Valuation of financial instruments/ products


      FRM Levl 1: Here VaR, Monte Carlo and Stress testing are the three most area of Risk Jobs.


      FRM Level 2: Risk regulatory framework of one more of the major economies across globe (i.e. US, EU, etc.). Knowledge of Basel II/ III  or Solvency II principles and practice

      FRM Derivatives areas for Jobs: Interest rate pricing models, equity and FX option pricing models, single and multifactor derivative pricing models, stochastic volatility models

      Analytical tools recommended for Risk are SAS product suite (Base Stat, E-miner, Sas EGRC, Risk Dimensions),Excel/ VBA, Matlab, C++

      This is more theoretical part.

      Valuation and Risk Models 20feb