For sophisticated applications, there is no alternative but to work with Excel Objects which are manipulated using Visual Basic for Applications, the language for programming Excel. While some users program Excel using Macros, the true power of Excel can be accessed only with visual basic code. Many enterprises are unaware that the database in which they have invested millions of dollars is good only for storing and retrieving data but ill-suited for numerical analysis for which Excel is the appropriate tool. Thus, databases and numerical analysis tools (such as Excel) have distinct roles to play and an Excel based solution often requires the data component of the application to be supplied from an external source such as the Internet or the back-end server.

This course comprises of slide presentations, problem solving, and discussions on

• Conceptual topics,
• The architecture of the Excel User Interface,
• The Excel Programming Architecture,
• Important features of Excel,
• Excel objects and object hierarchy,
• The structure of the visual basic language for programming Excel.

Participants will be divided into groups of two to four and each group will work on situations using Excel; participants will receive a CD with topics for problem solving and will be encouraged to discuss and question.

Who Should Attend:- Candidates who are having any graduate degree.

• Components of Financial Modeling
• Definition of Financial Modeling
• Introduction to Financial Modeling
• What is not a Financial Model
• Advantages of Financial Modeling
• IPO Framework
• Layout Issues
• Examples of Models
• Databases and Spreadsheets
• Excel Overview
• Accessing Excel
• Code Modules
• Objects
• Collections
• Manipulating Objects
• Identifying Objects
• Worksheet as a Platform
• Form as a Platform
• Requirements for Modeling
  • Arrays
  • Functions
  • Built-In
  • Analysis Tool Pak
  • User-Defined
  • Names
  • Formatting Values
  • Excel Controls
  • Add-Ins
  • Data Validation
  • Data Management
  • Lists
  • Data Filters
  • D Functions
  • Pivot Tables
  • What-If Analysis
  • One Variable Data Tables
  • Two Variable Data Tables
  • Goal Seek
  • Solver
• Scenario Manager
• Entry Points into Excel
• GUI Vs Code
• Visual Basic Code
• Parts of a VB Procedure
• Executing Code
• Manipulating Excel with Objects, Properties and methods
• Object Hierarchy
• Object Collections
• Excel Object Model
• Macro Recorder
• Control Structures
• Types of Control Structures
• Excel Events
• User Forms
• VB Controls
• Alternatives to Forms
• VB Functions
• Object Browser
• Range Object
• Worksheet Object, Properties, Methods and Events
• Range Properties and Methods
• VB Variables and Constants
• Arrays
• VB Operators
• Examples of Code
• Hands-On Programming

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• The consolidation of execution venues and the birth of global exchanges
• Competitive pressures on broker-dealers to offer electronic services and best order
• execution to their clients, and
• Increased regulatory requirements from financial authorities to improve transparency
• for all market participants.

The Course introduces key concepts, the trade life cycle, and factors driving the growth of electronic trading with an overview of Algorithmic  and High Frequency Trading, which defines important ideas and gives a historical perspective on the emergence of program and algorithmic trading.

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The post Financial Modeling first appeared on Modrika.

The objective is to introduce students with comprehensive aspects of Algorithmic Trading and execution. It is designed for both buy and sell-side industry. This course involves a top-down approach to Algorithmic Trading, in which we will equip students with the identification of target markets and trading styles for Algorithmic Trading, identified the factors driving the growth of electronic trading with an overview of Electronic and Algorithmic Trading, designing trading strategies and their algorithmic components.

Students also get opportunity to work on trading terminals, learn infrastructure requirements, techniques of risk management and portfolio improvement and business strategies to protect the combative provide in Algorithmic Trading.

Students/Corporate cover courses in finance, financial economics, financial econometrics, financial mathematics, stochastic calculus, numerical methods, monte carlo simulation, derivatives modelling, portfolio theory, portfolio optimization, performance analysis and financial risk analysis. You instruct to write financial applications and derivative modelling programs in VBA / C++, C# Sharp, Easy language making use of the theories and methods you have learned. You get hands-on learning session on the commercial Financial Software applications from Thomson Reuters. You also acquire to do assets financial modelling using the advanced features of Excel.

Brief Course Content

Module A: R software based back testing and Visual basic applications based trading (this module would be covered throughout the course)

• R software based backtesting Visual basic applications based coding and trading
  • Probability and statistics using R. regressions and model fitting.
  • Time series analysis using R: Spectral analysis, ARIMA, moving averages and differencing models. Forecasting from model fitting and residual diagnostics.
  • Pairs trading using R. Downloading S&P500 historical data, making pairs and simulating pairs trading.
  • Options, futures and derivatives pricing using R. Portfolio optimization and performing finance managerial tasks using R.
  • Backtesting trading strategies using systematic investor toolbox in R. Strategies based on:
  • • Probabilistic momentum, seven twelve portfolio strategies, volatility regimen based trading etc.
    • One month reversal, seasonality, calendar strategies, based on dates on expiration of options etc.
• Visual basic applications based coding and trading
  • Introduction to coding in VBA
  • Real time trading simulation and implementation of technical analysis indicators using VBA

Module B: Financial mathematics, random number theory, probability and statistics, stock data analysis.

• Financial mathematics
  • Concepts of interest, internal rate of return and present value of money. Bind pricing.
  • Theoretical pricing of bonds and equities and decision making
  • Present values in annuities. Annuities payable. Deferred annuities. Advanced topics in annuities.
  • Prevailing instruments in stock market. Debentures ,shares and futures. Cost of carry models. Option and option strategies.
  • Diversification and portfolio management. Concept of risk and return for collection of financial instruments.
• Financial data summarising., dispersion, correlation and regression
  • Types of data, individual , discrete and continuous distribution
  • Mean, median and Mode
  • Measures of dispersion, variance and standard deviation. Symmetry and skewness of data
  • Correlation and covariance. Regression analysis
  • Least squares model and maximum likelihood estimation
• Probability, confidence interval and hypothesis testing
  • Confidence interval and hypothesis testing for means and variance in one and two sample case
  • Sets and subset. Sample space, union and intersection of set
  • Additive and multiplicative rule of probability. Conditional probability
• Random theory, discrete and continuous probability distributions
  • Uniform, bernoulli, binomial, poisson, geometric and negative binomial distribution
  • Chi square, gamma, exponential and normal distribution. T distribution and f distribution
  • Central limit theorem and Normal distribution using central limit theorem
  • Types of random variable. Summarising random variables. Calculating probability distributions.
• Trading 
  • Participants in Trading
  • Stocks, Options, Bonds, Mutual Funds, ETFs and Forex Trading
  • Current Scenario of Trading & Future Prospective
  • Introduction to Algorithmic and High Frequency Trading
• Time series analysis
  • Time Series Analysis: Autocorrelation, White noise, Stationarity, Autoregressive models. ARIMA models. Spectral Analysis, Fourier Transformation
  • Analysis of time series stock data
  • Estimation of volatility using various models
  • Pairs Trading: Correlation, Distance, Co integration

 Module C: Finance, economics, options and futures

• Basics of Finance
  • Financial Planning
  • Various Types of Costs & Risks, Overview of Taxation
  • Financial Institutions & Markets
  • Topic 4:  Capital Markets & Commodity Markets Operations
•  Options and future
  • Options Theory
    • Options terminology, Options Payoffs, Options payoff profile and strategies.
    • European and American Options. Asian options, greeks
    • Pricing of Options. Binomial tree models, black scholes equations, monte carlo random walks models for options pricing.
  • Futures and Forwards Markets
  • Swap Contracts & Swap Markets

 Module D: Technical analysis; Indicators and candlestick patterns; Real trading

• Technical Analysis
• Tradestation I: Getting started with Tradestation. Beginner level coding.
  •  Trend Analysis, Oscillators, Moving Averages, momentum indicators
  •  Technical Theory & Technical Analysis Indicators
  •  Inter market Technical Analysis
• Tradestation II: Medium level coding and sound knowledge of Technical Analysis (some of the practicals are listed below)
  
  • Money management: stop loss, percent trailing loss, profit target etc.
  • Implement a function that invests at Kelly’s fraction.
  • Code for a Indicator based on maximas and minimas
  • Code for various patterns candlestick patterns.
    • Bearish engulfing, shooting star, Hanging man, piercing pattern,Doji star, etc
  • Implement a strategy based on candlestick patterns and stochastic crossovers.
  • Implement filters, such as a) stochastic, b) CCI, c) Trends or d) Day of week at which trading has to happen.
• Tradestation III: Higher level coding and sound knowledge of trading. (some of the practicals are listed below)
  
  • Breakout strategy. I.e., how to capitalize on the rally up of the stocks
  • Write the code to pause for certain number of days if consecutive loose trades happen.
  • Trading based on Fibonacci
  • Trading based on bar pattern
  • Trading based on Bollinger bands and keltner bands
  • Meander indicator and meander strategy (it’s a scalping strategy)
  • Intraday strategy: Bar Reversal Long/Short Entry Strategy.
  • Stochastic trap: To get the optimum buy and sell

The post Algorithmic Trading Advance Trading Strategies first appeared on Modrika.

• To identify consistently low risk/high reward opportunities in the market.
• To develop a personal trading plan based on simple rule-based strategies.
• To understand the markets, and time frames that best fit a style of trading to your personality, life style, and risk tolerance.
• To enhance and enrich your decision making by gained proficiency using direct access trading tools .
• To perform different types of opportunity analysis (technical and fundamental).
• Professional risk management.
• To identify Support (demand) and Resistance (supply).
• Buying and selling actions of professionals.
• To understand and apply different order types.
• To build and manage a personalized Trading Plan.
• To recognize technical chart patterns and monitoring trends.
• To use Fibonacci studies.
• To identify moving averages and technical indicators.
• To identify personal style of confidence and discipline for trading.

The post Trading For Beginners first appeared on Modrika.

Course Overview:–

• Setting priorities: Here’s help for the first — and often the hardest — step in achieving your financial goals: deciding which goals to pursue.
• Making a budget : How to bring your spending under control, so that you get the most out of every dollar.
• Basics of banking and saving : Here’s how to get the best banking services at the best price, either online or off.
• Basics of investing : An introduction to making money in stocks, bonds and mutual funds.
• Investing in stocks: The market can be a great place to turn savings into wealth — or to lose your shirt. Here are some fundamentals of investing wisely.
• Investing in mutual funds: It’s a mutual-fund jungle out there. Here’s how to create a simple portfolio that works.
• Investing in bonds: Bonds can provide a steady and reasonably secure income, while adding ballast to your portfolio–but only if you really understand what you’re buying.
• Buying a home: Owning your home is part of the American Dream, but if you are not prepared, buying it can be a nightmare. Here are some fundamentals for buyers and sellers.
• Controlling debt: You’ve got to know when to hold debt–and when to fold it. This lesson shows you how to accomplish your financial goals by making debt work for you.
• Employee stock options : More companies are handing out stock options, and to a much broader group of employees. This lesson gives you vital information on how to handle ESO’s.
• Saving for college : It’s not rocket science, just common sense. By starting early and investing regularly, your children may have a wider choice of colleges, and paying the bill won’t hurt as much.
• Kids and money : Up until they start earning a living, and sometimes well beyond that, kids are apt to spend money like it grows on trees. This lesson will help you put your children on the road to handling money responsibly.
• Planning for retirement : Achieving a comfortable retirement in the 21st Century requires a new approach to retirement planning.
• Asset allocation: The single most important thing an investor can do is practice asset allocation. Here’s how.
• Hiring financial help : What to keep in mind when when seeking professionals to handle your financial planning, stock trading, insurance coverage and tax returns.
• Health insurance : Whether your employer provides you with a group medical plan or you need to buy coverage on the individual market, understanding how health insurance works is the best way to get your money’s worth.
• Buying a car : Buying a car is like no other shopping experience. The choices seem to be endless. This lesson helps you sort through your options.
• Taxes : Among the long list of necessary evils we must encounter throughout our lives, perhaps the most constant — taxes — is also the least understood. But the whole process isn’t nearly as baffling as you may think.
• Home insurance : Homeowners’ insurance can be a nightmare. It’s costly, confusing, and unrewarding — until you have to use it. Here, you’ll learn how to purchase peace of mind now and later.
• Life insurance :- Life insurance is critical to financial planning. It\’s a necessity for anyone with dependents who would be affected financially by your demise. Yet life insurance is one of the hardest financial products to understand and it\’s sold by agents who are sometimes more concerned with their commissions than your needs. This Money Essentials lesson is all about a better way to buy life insurance.
• Estate planning : Asians along with Americans and Europeans are in the midst of one of greatest inter-generational transfers of wealth in history, yet few of us have done any planning for it. Here\’s how to start.
• Auto insurance : Auto insurance can be a nightmare. It\’s costly, confusing, and unrewarding — until you need it. Here\’s how to purchase peace of mind now and later.

The post Personal Financial Management first appeared on Modrika.

• Controllers oversees income statements, expense analytics and other financial reports.
• Treasurers and finance officers manage investments and cash.
• Risk and insurance managers administer programs to minimize risks and losses that could arise from financial transactions and business operations.
• Credit manager is responsible for an organization’s credit and collections, according to the Bureau of Labor Statistics
• Cash managers supervise and manage the flow of cash receipts and disbursements to meet business and investment needs.

FINANCIAL MANAGEMENT COURSE CONTENT

Session I: Fundamental Concepts of Financial Management

• An Overview of Financial Management and the Financial Environment
• Time Value of Money
• Financial Statements, Cash Flow, and Taxes
• Risk and Return: The Basics
• Risk and Return: Portfolio Theory and Asset Pricing Models

Session II: Securities and their Valuation

• Bonds and Their Valuation
• Stocks and Their Valuation
• Financial Options and Their Valuation

Session III: Projects and their Valuation

• The Cost of Capital
• The Basics of Capital Budgeting: Evaluating Cash Flows
• Cash Flow Estimation and Risk Analysis
• Real Options

Session IV: Corporate Valuation

• Analysis of Financial Statements
• Financial Planning and Forecasting Pro Forma Financial Statements
• Corporate Valuation, Value-Based Management, and Corporate Governance

Session V: Strategic Financing Decisions

• Capital Structure Decisions: The Basics
• Capital Structure Decisions: Extensions
• Distribution to Shareholders: Dividends and Repurchases

Session VI: Tactical Financing Decisions

• Initial Public Offerings, Investment Banking, and Financial Restructuring
  Lease Financing
• Hybrid Financing: Preferred Stock, Warrants, and Convertibles

Session VII: Special Topics

• Working Capital Management
• Derivatives and Risk Management
• Bankruptcy, Reorganization, and Liquidation
• Mergers, LBOs, Divestitures, and Holding Companies
• Multinational Financial Management

The post Corporate Financial Management first appeared on Modrika.

• MATLAB – Introduction
• MATLAB – Array Creation
• MATLAB – Array Accessing and Strings
• MATLAB – Array Operations
• MATLAB – More Script Files
• MATLAB – Basic For Loops
• MATLAB – Computer Problem Solving
• MATLAB – Logical Expressions
• MATLAB – Conditional Statements
• MATLAB – Advanced For Loops
• MATLAB – While Loops
• MATLAB – 2D Plots 1
• MATLAB – 2D Plots 2
• MATLAB – Functions 1
• MATLAB – Functions 2
• MATLAB – Modeling and Simulation
• MATLAB – Verification and Validation

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What you will learn ?

• To identify consistently low risk/high reward opportunities in the market.
• To develop a personal trading plan based on simple rule-based strategies.
• To understand the markets, and time frames that best fit a style of trading to your personality, life style, and risk tolerance.
• To enhance and enrich your decision making by gained proficiency using direct access trading tools and Level II data.
• To perform different types of opportunity analysis (technical and fundamental).
• Professional risk management.
• To identify Support (demand) and Resistance (supply).
• Buying and selling actions of professionals.
• To understand and apply different order types.
• To build and manage a personalized Trading Plan.
• To recognize technical chart patterns and monitoring trends.
• To use Fibonacci studies. To identify moving averages and technical indicators.
• To identify personal style of confidence and discipline for trading.
• Measuring risk and return Benefits of diversification
• Modern Portfolio Theory and the Capital Asset Pricing Model
• The efficient frontier Optimizing portfolio
• How to analyses portfolio performance
• Alphas and Betas

The post Portfolio Management first appeared on Modrika.