Thursday, December 22, 2011

Quant Finance Interview Prep [Topics, Introduction, Jobs, CFA. FRM]

COURSE LINK: Quant Finance Interview Prep Course 

Playlist on Quant Interview:

Uploaded by Shivgan on WizIQ Tutorials

Course Highlights:
  • One-to-one session with the instructor.
  • Access to preparation material.
  • Discussion on case studies of various finance companies.
  • Acquire information on different interview formats.
  • Get accustomed to analytical and programming.

Course Description:
This is a one-on-one course for providing proper individualistic approach and prepare you for quant finance interviews. This course will help you in making a proper strategy to crack the interviews. It consists of 6 classes of an hour each. It will focus on various questions that can be asked during the interviews & how to tackle them. Different case studies of various quant finance companies will also be discussed so that you can tackle such questions with ease. Both Aptitude & Financial part would be taken care of. Proper materials would be provided along with some recommendations for books.

Course Package:
  • 06 Live online interactive classes
  • 03 Assessment test
  • 02 Online test
  • 01 PDF
  • 06 Videos
Key Takeaways:
  • Be fully prepared for quant job.
  • Get all mandatory information for cracking interviews.
  • Get all necessary material you need for quant interviews.
Other Details:
  • Presentations and PDFs will be provided.
  • Class duration: 1 hour/class.
Course Content:
Class No.TopicClass Duration
1Course structure – Making changes to the plan1 hour
2Soft Quantitative Aspects in Finance and News1 hour
3Excel, VBA, MATLAB, R, SAS, SQL Revision1 hour
4Calculus and C++1 hour
5Puzzles and Qualitative Aspects1 hour
6Revision/Doubt Clearing1 hour

Areas To Focus on For Interview Prep (with demo questions)

You can reasonably expect to be asked the following questions:
  • Why our company?
  • Why this particular position? (Especially if your degree is in an unrelated field)
  • Describe a time when you were a leader in a team situation
  • Tell me about a conflict that you experience within a team, and how you resolved it.
  • Tell me about a time when you succeeded under stressful circumstances
  • Which financial markets interest you at the moment?
  • Why should we hire you over all the other candidates?
Types of Questions You May be Asked:
  • How would you value a certain company?
  • Pitch me a stock
  • How would the rise of China threaten the German economy?
  • What is the exchange rate between the Euro and the American dollar?
  • What are some problems investors might face in the future?
  • Where do you see yourself in 5 years?
  • Give an example of a moral dilemma your have experienced
  • How do you cope with stress?
  • You are sitting in a boat in the middle of a lake (alone) and drop in the anchor - Does the water level increase or decrease?
  • Tell me about something interesting that you have read recently
  • How would you convince a client that their request cannot be met?
  • What will you be doing in your first year at GS?
  • Give me a recap of your life in 30 seconds
  • How many manhole covers are there in London?

Last experience:
Question on projects: this becomes important
Leadership position / independent work 

Areas of concern:
  • Tell something about you
  • Confidence
  • Entrance
  • 20 seconds 50%
  • HR
  • Never assume next question
  • specialty
  • Body language
  • Eyes
  • Tone consistency
  • Hard-cored personality
  • Selling yourself
  • Strategic Exaggeration
  • Recent vs old achievement
  • Leveraged to strong areas
  • Quant maths
  • Rounds of Interview: Layers
  • Value for money
  • react vs respond
  • artificiality for selling
  • Battles are won in mind
  • Breaking the ice
  • women vs peer vs old men
  • Smiling at right times
  • Greeting at right times
  • Reactions and emotions not allowed
  • Correlated weakness
  • Games with no truth
  • Verbal Skills are imp like GMAT
  • Supply demand
  • Technical vs HR
  • Switching demand and supply

Supply demand in jobs: Arrow diagram of jobs means plotting supply and demand. Its a pure case of supply demand, hence if you go in a area where demand is less and supply is also less then that is a better strategy than going to supply more, demand area. This is my personal belief and my strategy. Because people are less also the demand is less there are chances of better negotiations.

Dealing with HR people: HR people should be dealt with appropriately. There are various people and layers that decides your entry in an organization.  Much of things depends on your qualifications and the place you do your PG from, hence this becomes one area of negotiations even if you can do the job of more qualified people. Hence in this case CFA, FRM and other exams become very useful.

Company size decision:
Small: No Big names, freedom, high pay, more learning that you can do.
Big: Adds to resume, more extra stuff, foreign assignment, less learning from self.

Questions for you are:
  • When HR says no more negotiations do they mean so?
  • How to catch mis-match in demand supply?
  • If you are getting better each day, how does too often switch matter? (Example 2 yr exp in good company vs 1 year in 2, and clearing exams like FRM/GMAT in the break)
  • How really less are the Quant jobs in India?
  • How to increase the interview count, how to move from Door to Door when email does not work?
Solutions and Discussions
  • Memorize all answers.
  • Learn about job, role and sector.
  • 2-3 minutes is what it matters.
  • Positive mind,  never react when forced to, take deep breath when angry or nervous.
  • Learn to lie, this is game of demand and supply.
  • Emphasis on knowing Research, Analysis, Reporting or which role that is.
  • What can you do that others cannot do.
  • First 6 months are tough with no Saturday and that is all right with you.
  • Least attractive: Political and diplomatic answers.
  • All negative answers: deal politely.
  • Do not condemn others, talk about yourself only.
  • Desire to progress/ recognition when due/ opportunity and suitability/ applying myself/ diversification / team working/ synchronized research / etc are reasons to join.
  • Be open minded.
  • Psychology of interviewers.
  • Definition of position or works that you need to know, do you know this?
  • Different types of analyst.
  • Working on tough past.
  • again understand the profile very carefully.
  • Ask them in a very soft and humble way.
  • How long would you like to work with us.
  • Do you know how to deal with company politics / backstabbing / trust deficit.
  • Avoid words like until/unless/my opinion.
  • Over Qualified answer.
  • Standard questions and answers.
  • Flasehood and lying with HR.
  • Ego issues in job.
  • Goals and targets.
  • 3 failed ventures.
  • Websites of interview Questions.
  • Consultants are also important and they can be contacted at a later stage.
Developing Financial Acumen:
  • Looking at news and presentations
  • News
  • Great men says
  • Macro Economics
  • Reading news
Technical question:
  • 10 Examples of Monte Carlo.
  • 10 examples of linear regression in Quant Corp Fin / Fin risk.
  • Econometrics: Multicollinearity, how to remove it.
  • Logistics regression.
  • Interpret rate paths using excel.
  • MATLAB for interest rate paths.
  • Are the risk different in HFT?
  • Volatility modeling using Heston.

  • Small errors
  • Over aggressiveness and over exerting
  • Preacher, giver of more that is needed
50 Standard Questions of HR:
  • Memorize all of them
  • Greatest weakness
What to ask them in the end:
  • Exact Profile
  • CFA FRM study leave
  • Relocation issues
  • Read about company
  • Guess supply demand
  • Body Language like nodding
  • Find company info
  • How to develop
  • Linkedin
  • Coaching
  • Teacher
  • Spirituality Link
Technical questions in Finance interviews:
  • Financial ratios (to find out problems in the company with balance sheets)
  • Valuation of companies CFA level 2
  • Modeling used in the industry
Questions in Quant finance jobs are very different:
Technical questions for Investment Banking / Equity valuation:
  1. FCF/DCF
  2. Enterprise Value
  3. Ratio modeling / Price to book ratio
  4. Footnotes auditor's report n Management Discussion
  5. Du-point analysis
Different Version of Resumes:
Once you know how many areas you want to go in, then according to need you can change your resume. Hence for that you should have different version of resumes. The areas that you need to cover are:
  1. Credit / Market Risk/ Quant Resume FRM L2
  2. Equity Research / Investment Banking / Private Equity Resumes CFA L2
  3. Algorithmic Trading / Quant Resume FRM / CMT
  4. Derivative Analyst /  Derivative Trading / Generic Trading FRM / CMT
Hence you should have at-least 4 version of resumes. Salary things, 10 times factor, Symbiotic relations.

Other strategic issues:
  1. Issues like bond, movement, absconding, etc must be taken care of before joining ideally.
  2. Company reimbursement of CFA FRM exam fee.
  3. Notice period buy-able
  4. Getting in touch with peers is another important thing
Major banks that everyone in finance wants to work are:
  1. Citigroup Inc., Deutsche Bank AG, Goldman Sachs Group Inc., JPMorgan Chase & Co., Morgan Stanley and UBS AG
  2. As far as India goes most of them are in Mumbai or Bangalore.
  3. Citi is in Mumbai, JP Morgan is in Mumbai, Goldman is in Bangalore, DB is in Mumbai and Bangalore, Morgan Stanley is in Mumbai, UBS is in Hyderabad, Barkley is in Mumbai.
KPOs in finance are:
  1. EVS
  2. Copal
  3. EXL
  4. Syntel etc
These questions are related to equity valuation

Some more Questions:
1. Tell me about yourself?
2. What do you know about Our Company?
3. What can you do for Our Company?
4. Why do you want to work for Our Company?
5. Tell me the latest Our Company headline you read. What are your thoughts on how that will impact Our Company?
6. If you were in a team involved in a secret Our company project, how would you refrain from telling your significant other, friends, family, etc?
7. Where do you see Our Company’s products?
8. How can you relate the goals you have for yourself to the goals of Our Company?

Salary Negotiations:
  • Do not utter your figure
  • How to ask for more
  • Hinting the opportunity cost
  • Asking about profile
  • Big vs Small company

Nice blog:

103 questions:

Data structures and algorithms:

Quant focused:,13_KO14,34.htm

Some of the recommended References:
  • C++ design patterns and derivatives
  • A Practical Guide To Quantitative Finance Interviews - Xinfeng Zhou
  • Quant Job Interview Questions And Answers - Mark S. Joshi
  • Heard on The Street: Quantitative Questions from Wall Street Job Interviews - Timothy Falcon Crack

One on One Customized Training: 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 Training are provided on requests 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.

Custom Video Solutions:

In yet another innovation to simplify things for our learners, has introduced the Custom Video Solutions Options. If a learner has some specific query but don't have the time to come to live online class, then he/she can ask for custom video solution for the query. will make a video recording that will be uploaded to YouTube or given directly to the learner in mp4 format for there viewing. A learner can go through the recording as per there convenience. If still doubts exist, he/she can email us  anytime for clarifying them.

Contact Us for More details:

In this regard my preparations has been bit misguided, where I have not been coherent. First I will take you through my prep and then we will look at the most idea prep. My past preps:
  1. Subject GRE Maths: Given this exam and failed 2 times (2009,2011)
  2. Monte Carlo/Game theory/Decision Tress: Have read game theory a lot, published some research on use of game theory for Nanotech
  3. SAS Base/adv/Miner(Predictive) also Mathematic: Used MATLAB a lot in Reliability Engineering
  4. Stochastic Calculus /  Martingales (all three are hardcore Mathematical terms). Ito and derivation of Black scholes and random particle KTG models (part of Quantum Physics)
  5. Derivation of all Distributions, freedom of movements (since regression class)
  6. Financial Time series is like signal processing 
Although most of things that I have learned are hard earned intuitive ways which is from very basics. I do plan to add their videos. But as an advice you should know all these areas if you are interested in working in Quant Positions.

Now you will ask these questions to yourself:
  • How much would you weigh my focus on these 3 areas: Fin basics/Maths/programming?
  • If I plan to give CFA, SAS Predictive modeling & FRM exams I will know lot of finance but not the mathematical part which are not taught anywhere but in Ivy. Can you suggest me on how to work on that lacking part of hifi-quant?
Answer to these questions are not direct, but yes you have to practice and sort out things yourself.

Course interpretation from Quant Finance:
The courses are divided into 3 areas: math+programming+fin basics. The maths consist of: Stochastic Calculus and has:
  1. Brownian Motion
  2. Ito calculus
  3. Martingale 
  4. Partial Differentiation 
Once you know a little bit about all these things you can feel quite comfortable with Quant areas.

I will be reading Monte Carlo Models and Black Scholes as the two main mathematical pillars of mathematical finance. There are various versions of mathematical derivations but I will try to explain them in my videos. BS is all about physics, gas liquid forces etc. Whereas MC is about stat. more toward programming side.There are many videos on the area that you can check out. The model of your system however remains to be derived by you.

There are also books on Interview of Quant on Wall street that you can check out, the major points still remains the one I am talking about and the rest covers things of CFA and FRM.

FRM & Quant:
FRM touches both BS and MC but not in details, it rather goes for a broad knowledge.Chapter: Valuation and risk models, also imp to pass the exam.Monte carlo is in quant. Both are given in very basics.

I think FRM and Financial risk a kind of practical application of Financial Maths/Engineering because risk is the area where quant is used a lot more than other area. Hence in the long term Quant people might go to derivatives or other areas of risk management. May be it is so complex: things like CDS, and IRS that they need very complicated models which are tough in FinMaths.

About my work in this area:
I studied integration from its roots in 2005 and 2006, then I studied partial differential in 2007-2008, that time I never knew that after few years I will be moving so hardcore into Quant profile. But yes it is fun to be in this area. I went to engineering but physics was my 1st love, I went for job, but doing business is my main goal. But Quant is something that I like doing, and will be doing.

Brownian Motion (also used in Monte Carlo Simulations)
It kind of reminds be of Schrodinger equations where things are related using partial differential equations to other areas. Here things are related to drift and volatility.

Binomial trees and various risk neutral methods and some other assumed in binomial distribution are interesting and time consuming to understand.

My views about applicability of models: In the long run things depends on  political policies and strategy, whereas in the short term it depends on the movements and big players and how they are changing their portfolio and hence there needs to be linking point between quant analysis and portfolio movements. Also there are portfolio of commodities+stocks+bonds and then generally basic quant looks likes short termed technical analysis with mathematical derivations.

Derivation of Black Scholes
A daunting task as it requires knowledge about engineering calculus.

Youtube also has some good videos on Quant finance, which you must check out to start your preparations: 
  1. Paul Wilmott
  2. Bionic
CFA Level 2 has multiple regression and Time series, two chapters which will help you deal with Quant Finance, but you should maintain good understanding  so that you can maintain the strategic advantage that you have in this area. There are few books on time series for finance which I have downloaded and will look into for improving my knowledge.

CFA Level 2 Quantitative Techniques for Finance
In the last session I studied Time series so I remember it the most. In that I found that still regression was used where it was regressed with the old data in a linear way. I think that the subject is build in a way that everything is kept linear. ARCH, Auto regressive, regression of errors with earlier errors, unit B1 or random walk was an important area. Random walk in its advanced form is used for Black Scholes. We were checking everything using p values and t stat which became clear last week, thanks to a friend. One thing that still gives me problem is that why we are dividing it 1/root(n) when we are testing the auto regressive for season effect, where does this comes from. But of-course I am also making a note of all the distribution so that things become logical and easy.

I was doing some research on various quant areas, I found these areas very good:
Neural network, genetic algo, etc for kind of technical analysis
Trading Algo, high freq trading is another area
Reinsurance and catastrophe modeling is another quant area

Hence there is something for every quant in different areas in quant.

Quant finance takes a different flavor when we talk about commodity derivatives which has their fundamental attached for each of the commodity (oil, agri, silver, gold, etc). Hence it become a case specific study on how to apply quant in modeling of derivatives for commodities and also Forex.

I will add a post of Quant for commodities, as this area is not given clearly in any of the place.

Model implementation (Tree, Monte Carlo, Finite Difference):
FX: Black-Scholes, Local Volatility, Heston & Local Stochastic Volatility
IR: Hull-White, Black-Karazinski, CIR & SABR

Requirements 'Quantitative Analyst' where FRM helps is as follows: 
  • Quantitative modeling to provide risk measurement and hedging solutions which is there in FRM
  • Developing stress testing and scenarios analysis tools which is there in Excel programming, also there in FRM L2
  • Basics of VaR Concepts, Liquidity risk, Tail Risk Measurement. 
  • Development of Statistical & Mathematical Models in C++, Matlab, R but this needs to be done by you 
  • In broad way this is area is about Pricing of instruments across asset classes
  • Hence, FRm here gives a good understanding of risks concepts including market risk, and operational risk

Quantitative Finance is compulsory including:
Vanilla and Exotic Derivative Products (Options, Futures, Swaps, Exotics such as Cliquets, Rainbows, Cappuccinos/ Stellars, Share Repurchases, Timer Options, Variance Swaps)
Models (Single factor, Multi factor, Mean Reverting etc) such as:
Local Beta
Hull-White Local Volatility 2 Dimensional Partial Differential Equation (PDE)
Markov Functional
Uncertain Volatility
Black Scholes 
Local Volatility 
Heston model
Merton Jump Diffusion model
Variance and Corridor Variance Products
Worst of Barrier
Overnight/Geared share repurchase (OSR/GSR)
Timer Option
Uncertain Volatility Model (UVM) Portfolio
Advanced knowledge of Equities and basic know of Fixed Income
Derivatives Trading Strategies 
Greeks (such as Volga, Vega, Gamma, Theta, Delta, etc.)
Development experience is must esp. in C++, Python, Excel/VBA, and Structured Query Language (SQL). Knowledge of Standard Template Library (STL) and Data Structures is must.

FRM CFA Quant Strategy

    Other way is to search for lectures on individual areas.

    Video Series CFA FRM

    Tuesday, December 20, 2011

    Excel Modeling (Advanced) for Financial Engineering (Supplement to CFA FRM prep)

    Excel Modeling (Advanced) for Financial Engineering (Supplement to CFA FRM prep) course experience by Satyadhar Joshi

    Personally I think Excel is cliche, and too much mundane but one has to do what is to be done.

    Below is a video about my course:

    Introduction: This article talks about the Excel financial modeling I took and about the important topics and interesting areas in the training. I have put in daily analysis of what I learned and pointed out anything that requires a special effort.

    Tough areas to model are: Monte carlo Simulations, derivative pricing models, interest rate options, currency derivatives.

    Day 1 of Excel finance training:
    1. Basics of excel like relative and fixed referencing
    2. Areas for excel modeling that are tricky will involve FRA and portfolio
    3. Operating leverage and changes as Operating Leverage parameter changes, increasing and decreasing fixed and variable costs and looking at curves
    4. Solving Liner Equation with objective and constrain functions, these are the ones of linear programming
    5. Portfolio Construction and use of matrix in excel, there is 5 element matrix

    Basic prerequisite for excel:
    1. For typing 1 to 10 first write ist no. then in 2nd row just add 1 in that cell nd then copy b2 then using shift n down then up to that level where u wanna to reach then do ctrl +v
    2. ctrl x to cut, ctrl v to paste it , use ctrl+shift+5 to make it in % terms
    3. ctrl page up and crl page down to go and come back to next sheet
    4. ctrl+space to select complt collumn , shift+space select row
    5. use' f5' to go any cell
    6. How to colour,undo and redo,f4 to lock
    7. Absolute vs. relative references
    8. 'IF' loop, NPV , IRR ,
    11. f2 to link down things

    Day 2 on Excel Finance training:
    1. Solver for Linear Modeling
    2. Regression: R adjusted, return vs price for beta, regression stat, etc. these are things also important for CFA L2, FRM L1.
    3. Beta calculations: Regression, formula, bottom up
    4. Monte Carlo simulations
    5. SIP Vs FD
    6. Story of Multiple IRRs
    7. Replicating Data and values
    Out of these the beta is a complex issue and so is the regression thing.

    Day 3 of Excel Financial Modeling:
    1. Mostly about simple Monte Carlo, searching for pie, understanding the multiplication of variables
    2. Then sensitivity for Duration and bond, convexity
    3. Rest all was simple
    4. MC was explained in a very simple way
    5. Freq function
    6. min max
    7. percentile reading greater than 0
    8. bin count
    9. percent rank command
    10. linking sheets ctr pgdown
    11. Stat basics like kurtosis, skewness, and other parameters
    12. medians and quartiles for Monte Carlo
    13. regression vs correlations
    14. all types of duration, derivation of formula of duration

    Day 4 Financial Modeling Excel:
    1. Revision of WACC optimization using solver
    2. Different types of Sensitivity Analysis
    3. CTR + page up to move between worksheets and referring between various worksheets
    4. All functions of data analysis
    5. Var and distributions
    6. Is Kurtosis fat tails or peekedness 
    7. Double effects of things in monte carlo
    8. H-Look and V-look, the rows column match and the syntax things are conventional
    9. Ratio analysis, there are around 40 ratio given in the CFA book
    10. CF from parallel sheets BS and IS
    11. Misc
    Day 5 Excel Modeling Financial:
    1. Using data table for finding scenario analysis, where we have to select 2 variables and then change the things as made in the rows and columns which is then linked to input and then things are linked downwards
    2. Z spread using tool called____, and computing it based on spot rates of US treasury
    3. Loan amount using
    4. IRR using function
    5. Du point in Excel
    6. Ratio 
    7. Common size
    8. Crt W Z
    9. Ctr W T
    10. What if Analysis
    11. TCF total Cf and its implication to new cash in the next years balance sheet
    12. WACC and its relation to value of company
    13. derivation of recievalbe days
    14. last year cash + total cash flow = cash in balance sheet this year
    15. salves vs turnover 
    16. portfolio of 3 stocks and looking at matrix: 1*3 3by3 3*1
    Matrix Multiplication
    I will discuss in details all the areas especially matrix multiplication, transpose and other formula.
    The most important part is to visualize the Covariance matrix, once that is done this become easy.

    Summary of First 5 classes of excel finance modeling:
    The experience was very good as I had a revision of all major concepts, especially Z spread and use of  Data table to predict 2 variable change in the scenario analysis. Also the matrix part requires a deeper understanding of the Matrix algebra and a revision so that I can apply for Finance.

    Monte Carlo Financial Modeling in Excel:
    First we need to define all equations and variable and find out the distributions of all variables, and once that is done we need to find out the future movements using Brownian motion. And then the variable which may vary as per our selected distributions. Finally we need to move ahead and draw the distribution of each outcome with its frequency or probability. So again here we need to work on Brownian motions to move into the future areas.

    Week 2 Day 1 on Excel Training
    1. FCFF tough questions (Requires knowledge about Cash flows, EBITA, why 1-t, different valuations models, etc)
    2. Bonds
    3. Portfolio of Bonds
    4. Asset Liability matching
    5. All 4 Valuation models were talked about but not implemented:  FCFF, Multiples, Residual income, Private Company valuations, these will be implemented

    Derivation of Bond Convexity
    Based on Taylor's theorem. Relation of function with first derivative and 2nd derivative.

    Asset Liability Modeling
    Matching is a tricky problem but requires no special skills.

    Capex and other issues, many models like Damodaran exists
    Damodaran model was used to convert the Rnd, lease, EBIT normalization etc. A lot is given on his website.

    Football field and making the 2 goal posts and finding out each values.

    Synergy and modeling for acquisition, these were done in 2 ways, where one was fundamental and other was based on market values.

    Multiple based modeling included 3 things:

    and finding out our company values using these multiples and which is more relevant etc.

    Macro and VB
    Macros are linking cell, making macros functions etc where the are just like Visual Basic. Adding graphics like check and buttons etc. Simple things were taught.
    Shortcut= alt+f11
    We can make the entire setting of number of digits and custom ideas for the cells.
    How to use string and take it here and there.

    The things that I find most interesting in this area is VBA and application of VBA. Commands to manage the large data of SQL is another important concept. I think VBA will be done in the upcoming week.

    Things that I want to see are hardcore Quantitative finance models.

    Exam of Excel fin modeling:
    The exam of the this was very rigorous and tested many concepts, let me give you an outline of the exam:
    1. Breakeven point, contributions margin, effect of profit depends on the Fixed cost and variable costs and the slope of this line is important. Hence if a firm wants to change its Fixed cost or variable cost it depends on the breakeven point as it takes a qunat approach to the part about our investment on fixes or variable costs.
    2. Duration and convexity of a bond and bond portfolio, this is simple, and how to hedge based on the duration, kind of same was seen in FRM exam
    3. Projection of BS IS, using common size statement, and how to project future, here we had sales increasing and he had to increase the cogs, etc by the same amount, this is part of corporate finance CFA
    4. portfolio management
    5. alpha and beta
    6. How to lever, unlever and do things to calculate beta and hence find out the cost of equity, where we have to go different industries and it was an imp thing. We need to know RFR and other things, hence beta is an important matters. 
    7. But the thing that I enjoyed most is the bidder and target firm, and valuation of synergy, for this we had to calculate the reduced COGS and increased growth rate. But to incorporate all these things into accounting and Income statement is very interesting. In this term, we need to know accounting for merger acquisition, and other things.
    Thus these were the main question of the test, and accuracy of 70% was required to do the same questions.

    More to come:

    1. IPO, merger, LBO and FPO Modeling
    2. Black Scholes and binomial methods for  Derivative pricing
    3. Binomial trees using Macros
    4. Advanced  Bond Valuation advanced
    5. Consolidation, merger
    6. Taxation effects
    7. Loss carry forward
    8. Valuation from data of a company from scratch, which is downloading from their website, how to calculate risk free rate in real life
    9. Using data from websites of NSE and data collection for modeling, linking models live to real data.
    10. We have more models from Damodaran
    11. Modeling for corporate control in India
    12. ABS, MBS, RMBS, CLO, FSS, WBS in Excel
    13. Sector Analysis: How to specialize any area for interview
    14. Company Analysis: of ANY BIG ONE
    15. Group presentations and making synergy 
    16. Report writing skills, like how to apply news paper info to valuation

    My course on VBA for Financial Engineering:

    Financial Modeling in MATLAB
    MATLAB, SAS are advanced tools for modeling used in instruments of structured finance. As we have seen that Excel is good for Equity modeling, it does not hold very good when things become complex. The next Level of Excel is VB which I will be covering later.

    I came across this book called financial forecasting where I did read about how I can apply all what I read in FRM L1 in MATLAB and other tools.

    As depicted in my credit risk thread, I will here talk about how to simulate some of the major quant Finance aspects in MATLAB.

    Written by: Shivgan  Joshi