The document describes a 4-day workshop on advanced financial modeling. The first two days focus on financial modeling with Excel, covering topics such as building financial models, functions and commands, statistical analysis, and scenario building. The second two days focus on modeling and analyzing derivatives using Excel, including simulating stochastic differential equations, the Black-Scholes equation, and pricing equity, FX, interest rate, and credit derivatives. Attendees will learn how to engineer derivative structures, apply quantitative techniques to analyze derivatives, and understand Greeks and their monetary implications.
2. MASTERING FINANCIAL MODELING
ADVANCED LEVEL
4th - 7th October, 2010 : Mumbai | 6th - 9th December, 2010 : Delhi, Ahmedabad
13th -16th December, 2010 : Bangalore, Mumbai
Program Fee: INR 24,000 /- + 10.3% ST
Mastering Financial Modeling (MFM息) is a comprehensive financial modeling workshop which covers the
practical requirement that a finance professional is expected to do in areas related to Financial Modeling. Excel
sheet is a predominant tool used in Modeling and the program shall cover its relevant usage in detail. The
workshop has 32 classroom contact hours spanning four days from 8 am to 6 pm. Objective of this program is
to build fundamental concepts on financial modeling and provide them techniques to build financial model
needed by their organisation.
ABOUT THE PROGRAM
MFM息 starts with a 2 day basic program on financial modeling which explains about all the excel based
financial modeling required by finance professional working in any sector. The latter 2 days goes in depth into
the derivative solutions and its analysis and financial engineering models including the concepts of financial
mathematics.
Day 1-2: FINANCIAL MODELING WITH EXCEL (2 Days)
It is a generic program catering to the needs of all corporate professionals working in any sector. This program
will take an individual from basic to an intermediate level.
Pre Requisite: None
Day 3-4: MODELING AND ANALYSING DERIVATIVES USING EXCEL (2 Days)
This is a niche financial modeling program which caters to only those working in derivatives and financial
engineering.
Pre-Requisite: It is expected participants should have an understanding of excel based financial modeling and
working knowledge of derivatives.
Based on the need, you can enroll for entire 4 day program (MFM息) or for any of the two day program
Day 1-2: FINANCIAL MODELING WITH EXCEL (2 Days) or Day 3-4: MODELING AND ANALYSING
DERIVATIVES USING EXCEL (2 Days)
HOW THE WORKSHOP WAS SHAPED
Some of the research and data points we have used in shaping the agenda include:
1. Talking to Senior business and Finance management group, Financial consultants and analysts in the private
and public sectors and seeking their views and advice on what are the critical issues in Financial Modeling
and where they are investing budget.
2. Seeking the views of thought leaders, industry analysts and leading consultants to mould the agenda.
3. OptiRisk is in a unique position as a major part of our business is also training - which includes large
portfolio of public and closed in-house courses from this we track which courses are generating most
participation and importantly again, where organisations are investing budget. Training is an excellent
barometer to market trends.
We believe that this is the most focused of any Financial Modeling workshop in India.
4. FINANCIAL MODELING
WITH EXCEL
4th & 5th October, 2010 : Mumbai
6th & 7th December, 2010 : Delhi, Ahmedabad
13th & 14th December, 2010 : Bangalore, Mumbai
Program Fee: INR 13,000 /- + 10.3% ST
PROGRAM OBJECTIVE
MS Excel 速 is today unarguably the most commonly used spreadsheet utility globally to do finance. In spite of
this, according to various surveys on Excel usage, a rather miniscule percentage of Excel Users use it to its full
potential. The focus of the course is to help the participants learn the tools and capabilities of this spreadsheet
application to perform from the simplest to the most complicated and elaborate financial analysis.
Modelling for Corporate Finance Transaction
Case Outline and the process participants will go through in solving the case and structuring an LBO/MBO
transaction
Acquirer input Acquirer Acquirer
historical output: DCF valuation
numbers and Income output
projected statement,
numbers/ balance sheet
assumptions. and cash flow
How the
Sources of
LBO/MBO
Funds:
would be
Financial funded. How
Sponsors much debt
needs to be
Management raised
Different Tiers
of debt
Structuring the Motivations &
Deal Economics of
deal for
Evaluating Debt/Hybrid/E
Different quity Investors
Options
5. FINANCIAL MODELING
WITH EXCEL
The good thing about an over-engineered software like Excel is that it very well equiped to perform the most
sophisticated and detailed financial analysis. The downside to this is that financial analysis workbooks are
becoming increasingly bulky and unstructured. Many a times, they develop into unweildy, clumsy and difficult
to manage models, with the user having no clue as to whats going in the spreadsheet and if the results are
accurate in the first place. Therefore, structuring good financial models is as much an art as a science.
The important aspects this workshop focuses on is to apply the tools effectively while constructing financial
models, caring for scalability, making them flexibile, structuring in such a way that auditing the model results is
not cumbersome. These essential attributes make financial models accurate, flexible and user-friendly. The
workshop would use a learning by doing approach, because thats how the science and art of financial
modeling is learnt.
Results:
We expect that the participants attending the course will be able to learn significant financial modeling
capabilities using Excel that would be pertinent for corporate finance, financial analysis, risk management,
transaction structuring like modeling for M&A, etc. The level of the course is Intermediate to advanced.
KEY BENEFITS
- Master the use of Excels financial modelling tools - Incorporate elements such as risk, sensitivity,
and capabilities optimisation and forecasting into financial models
- How to design a model to suit your purpose - Produce meaningful management reports and charts
- Understand the different types of financial models for communication
and when each should be applied - How to identify and control key sensitivities through
- Construct financial models making use of a broad advanced spreadsheet simulation
range of Excel methods and techniques - How to design a model to maximise flexibility and
- Accurate forecasting corporate cash flows for project reliability
finance deals and structures - Practical tips for checking and debugging the mode
6. FINANCIAL MODELING
WITH EXCEL
PROGRAM FACULTY
Our faculty is an experienced Investment Banker and a guest faculty in finance in IIMs, who specializes in Fixed
Income, Foreign Exchange and Credit Derivative products. He has conducted training programs for banks and
corporates in India, Singapore, Hong Kong, Middle East, and South Africa on topics such as Credit Derivatives,
Fx Derivatives, FI Derivatives, ALM, M&A, Financial Modeling for LBOs, Debt Capital Markets, Basel II and Risk
Management.
WHO SHOULD ATTENTD
Corporate Finance Professionals
Quantitative analysts
Investment Bankers
Risk professionals
Treasury managers
Controllers
Data analysts and economists
DAY ONE
Creating the first financial statement model in Excel to Data Analysis Toolpak
begin with (with an exercise and hands on practical Important Excel Functions and commands for
session; focus on how to build a model right from the modeling
scratch, linkages with excel spread sheets, assumptions, Conditional Formating
use of past financial statements for the projections and Online collaboration
building forecasted financial statements) Auditing
Protecting the workbook
Important issues for preparation and building of a financial Sharing the workbook
model Data Validation
Handling external data
Excel Functions and commands to supercharge worksheets Sorting
(most of the participants may be aware about the Filters
functions, yet just a quick revision and how these functions Subtotals
are used in financial modelling) Pivot Tables
Different ways of summing and counting: SUMIF;
SUMIFS; SUMPRODUCT; DSUM; DCOUNT; Statistical Data Analysis: trend analysis, regression,
DCOUNTA; COUNTBLANK; COUNTIF; DMAX; moving average
DAVERAGE Optimisation using
IF (This Is True, Do This, Else Do This) Goal Seek
Lookup & reference: CHOOSE; OFFSET; INDEX; Scenario Manager
MATCH; HLOOKUP; VLOOKUP Data Table: Row and Column input cell
Solver
7. FINANCIAL MODELING
WITH EXCEL
DAY ONE (Cont.)
Scenario Building
Switches
Forms
Scenario building optimistic, base case and pessimistic assumptions
DAY TWO
Topics in Finance Modelling term structure of WaCC
DCF valuation
Principles of financial modellingAccuracy, Flexibility
Relative valuation (PE, EBITDA multiple)
& User-friendliness
Combining DCF and relative valuation models
Defining Model objective
Modelling for Leveraged Buy Out & Management Buy
Outlining model plan
Out
Spread sheet maps
Sources of funds for acquisition
Flowchart and information flow
Modelling uses of funds
Layout and architecture of financial model
Modelling ESOPs and Earn-Outs
Setting up modules
Partial and full dilution due to ESOPs
Identifying inputs and variables
IRR calculation for financial sponsor on fully diluted
Defining deliverables and functionality
basis
Cataloguing outputs
Purchase Accounting Model
Stress testing Models
Model for Stock-for-Stock Deal
Model Documentation Model for Cash-for-Stock Deal
Financial Statement modelling
Modelling when M&A financed by issue of debt
Projection of Revenues, COGS, SG&A and other Income
Model illustrating Accounting for a partial Acquisition
Statement and Balance Sheet items
Accretion Dilution Model
Select model drivers and assumptions
Deal Structure: Cash, Fixed-Value Stock Offer, Fixed-
How to create an interlinked model for Income Shares Stock Offer
Statement and Balance Sheet
How circularity improves accuracy but also destabilizes
the model
Building a fully integrated Cash Flow Statement
Modelling need for financing in future time
Analysing the output and cross-checking with surplus
funds and necessary to finance
Models for Debt repayment with prepayment option
Modelling Amortizing & Accreting Loans
Modelling Pay In Kind (PIK) securities
Model for computing Beta
Modelling un-levering and re-levering of betas
Modelling term structure of Beta
Model for WaCC with various debt-equity choices
9. MODELING AND ANALYSING
DERIVATIVES USING EXCEL
6th & 7th October, 2010 : Mumbai
8th & 9th December, 2010 : Delhi, Ahmedabad
15th & 16th December, 2010 : Bangalore, Mumbai
Program Fee: INR 13,000 /- + 10.3% ST
PROGRAM OBJECTIVE
A common misconception is that understanding derivatives requires knowing a lot of advanced math
which is the privilege of only the geeks. That said, sometimes you probably wonder how do these large bunch of
I-Bankers manage to provide derivative solutions to their clients because they dont seem to have been rocket
scientists in their previous avatar. There would have also been questions like how do you actually engineer
those financial products? May be, you read something called Black Scholes, Itos Lemma, and so on but they
didnt quite answer those questions convincingly, much less, make sense in the context of the real world of
finance.
In the last two decades, derivatives have become all-pervading in financial markets with outstanding
notionals in excess of US$ 600 trillion. If your profession has anything to do with finance, then there is a pretty
high chance that you will have something to do with derivatives at some point or the other. This course tries to
demystify and simplify derivatives using a tool like Excel. For a practioner, it may be difficult to relate the Black-
Scholes equation but it would probably start to make sense once you start thinking like an accountant about all
these greeks and put the differential equations in excel. In the workshop, we will start to think of each of these
greeks in terms of money, which is what traders do. The program covers a comprehensive list of topics that
derivative practioners need to understand for their day-to-day work.
dSt
(rnumeraire rasset ) * dt * dWt
St
C 1 2 2 2C C
S (rnum rasset ) S rnumC
t 2 S 2
S
V ( S , K , T , t , , rnum, rasset , ) e rnum [ FN (d1 ) KN (d 2 )]
10. MODELING AND ANALYSING
DERIVATIVES USING EXCEL
PROGRAM FACULTY
Our faculty is an experienced Investment Banker and a guest faculty in finance in IIMs, who specializes in Fixed
Income, Foreign Exchange and Credit Derivative products. He has conducted training programs for banks and
corporates in India, Singapore, Hong Kong, Middle East, and South Africa on topics such as Credit Derivatives,
Fx Derivatives, FI Derivatives, ALM, M&A, Financial Modeling for LBOs, Debt Capital Markets, Basel II and Risk
Management.
WHO SHOULD ATTENTD
Capital Market Professionals
Quantitative analysts
Investment Bankers
Risk professionals
Treasury managers
Controllers
Economists
KEY BENEFITS
Understand financial engineering specifically, how Appreciate how derivatives are structured to suit
derivative structures are engineered client requirements
Pricing and risk management of Equity, FX, Interest Learn simulation techniques for pricing derivatives
Rate and Credit Derivatives Learn how to solve any stochastic partial deferential
Demystify and simplify the quantitative techniques in equation (including Black Scholes equation) using
analysing derivatives using Excel spreadsheets
Be aware of derivatives as risk management tools Understand Greeks (Delta, Gamma, Vega & Theta)
Learn how to manage a derivative portfolio and the monetary implications of each of them
11. MODELING AND ANALYSING
DERIVATIVES USING EXCEL
DAY ONE
Geometric Brownian Motion multiple ways of deriving the BlackScholes partial
Financial variables with deterministic Jump and differential equation
stochastic jumps the assumptions that go into the BlackScholes
Taylor series equation
Our first differential equation how to modify the equation for commodity and
Binomial Model currency options
Binomial model for an asset price random walk
delta hedging Replication of price of a derivative product in general
no arbitrage is the cost of risk managing it
the basics of the binomial method for valuing options Excel Exercise using a Partial Differential Equation
Discrete Hedging
risk neutrality
the effect of hedging at discrete times
Pricing exercises using Binomial model
hedging error
the real distribution of profit and loss
Simulating and Manipulating Stochastic Differential
Equations
Pricing exercises
Using Itos lemma to manipulate stochastic
differential equations
Equity Derivative Products
Continuous-time stochastic differential equations as
discrete time processes
Vanilla Options
Simple ways of generating random numbers in Excel
Call/Put Options
Correlated random walks Contract specifications of Call/Put Options
Exercise: Pricing with Black Scholes Model and
Monte Carlo Simulation and Related Methods Monte Carlo Simulation in Excel
the relationship between option values and Basic strategies containing vanilla options
expectations Call and put spread
how to do Monte Carlo simulations to calculate Risk reversal
derivative prices Risk reversal flip
simulations in many dimensions using Cholesky Straddle
factorization Strangle
Butterfly
The BlackScholes Model Seagull
the foundations of derivatives theory: delta hedging
and no arbitrage
12. MODELING AND ANALYSING
DERIVATIVES USING EXCEL
DAY TWO
Fx Derivatives and Interest Rate Derivatives Credit Derivatives
Credit Default Swap Pricing
Fx Forwards, Fx Swaps Pricing First-to-default Basket
When to use an FX forward, Fx Swap
Copula Models for pricing credit derivatives: Gaussian
Pricing & Hedging Examples
Copula
Fx Structuring Exercise in Excel: Corporate Client Pricing CDO
Fx Structuring Exercise: Cross border acquisition
Risk management of Derivatives
Interest Rate Swaps Value at Risk
LIBOR Swaps
VAR as Downside Risk
MIBOR Swaps
VAR Parameters: Confidence Level, Horizon,
OIS Swaps
Application: The Basel Rules
Basis Swaps
VAR Methods
Cross Currency Swaps
Standard CCS with principal exchange
Counterparty Credit Risk for Derivative Transactions
PO Swaps
Counterparty-level exposure
CO Swaps
Credit Value Adjustment (CVA)
Interest Rate Options
CVA as the price of counterparty credit risk
Receiver and Payer Swaptions
Expected Exposure - Conditional on Default
Caps and Floors
Peak Exposure - Conditional on Default
Callable & Puttable Bonds
Wrong/Right-Way Risk
CO Swaps
Interest Rate Options
Receiver and Payer Swaptions
Caps and Floors
Callable & Puttable Bonds
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Modeling & Analysing Derivatives Using 6th & 7th Oct, 2010 8th & 9th Dec, 2010 15th & 16th Dec,10 Rs 13,000/-
Excel (2 Days) Mumbai *(Service Tax Applicable)
Delhi Ahmedabad Bangalore Mumbai
Both (4 Days) 4th - 7th Oct, 2010 6th - 9th Dec, 2010 13th - 16th Dec,10 Rs 24,000/-
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