- •2. Intertemporal choice problem as foundation of the modern theory of finance.
- •3. Basic economic theory of risk. Expected utility function, risk premium and risk aversion measures.
- •4. Technology, profit maximization and theory of firm and industry supply
- •5. Production costs in short run vs long run and cost minimization problem.
- •Variable Costs
- •Isocost Lines
- •6. Types of industrial markets. The model of perfect competition.
- •7. The theory of monopoly. State regulation of monopoly markets.
- •8. (И.К.)Models of oligopoly and game theory applications
- •9. 9. Institutional foundations of economic systems. The economic theory of property rights.
- •10. Transaction costs: the origin, nature, classification, measurement problems.
- •11. Theory of information, properties, info asymmetry and methods of overcoming it
- •Information asymmetry
- •12. Gdp as an indicator of economic results of the macroeconomic system.
- •Income approach
- •13. Aggregate demand and aggregate supply. The ad-as model.
- •14. Consumption, savings and investment. “Keynesian Cross”.
- •15. Money market. The demand for money and supply, factors that determine them. Equilibrium in the money market.
- •16.Joint balance of real and monetary sectors of the economy (model is-lm).
- •17. Cycles of economic dynamics. Sources of cyclical fluctuations in economic conditions.
- •18. Inflation, its types and methods of measurement. Factors and consequences of inflation. Anti-inflationary policies.
- •19. Disequilibrium in the labor market. Unemployment and its types and methods of measurement.
- •20.Globalization and the polarization in the modern world economy.
- •21.General economic equilibrium in an open economy (model Mandell - Fleming).
- •Is components
- •22.(И.К.)Efficient Market Hypothesis (emh): Concept, Forms, Arguments for and against.
- •23. Economic Data and Econometric Analysis. Four types of Economic Data. Role of Econometrics. Main Application of Econometrics.
- •24. Financial Econometrics, it’s object. Type of equations in mathematical modeling: behavioral equations and identities.
- •25,26,27,29 Simple regression analysis. The Simple Linear Model. Least Squares Regression. Interpretation of a Regression Equation.
- •28.Ordinary Least Squares (ols). The Gauss – Markov Theorem.
- •30.Heteroscedasticity. Possible Causes of Heteroscedasticity. The Goldfeld–Quandt Test.
- •31.Autocorrelation. Possible Causes of Autocorrelation. The Durbin–Watson Test.
- •32.Multiple Regression Analysis. Derivation of the Multiple Regression Coefficients.
- •33.Properties of the Multiple Regression Coefficients: unbiasedness, efficiency, precision, consistency.
- •34.Multiple Regression Analysis. Problem of Multicollinearity.
- •35. Purchasing Power Parity Theory: Concept, Forms, Application
- •36. Fisher Effect Parity Theory: Concept, Application
- •37 International Fisher Effect Parity Theory: Concept, Application
- •38. Interest Rate Parity Theory: Concept, Application
- •39. The composition of the global financial market: instruments, participants, sources of information.
- •41. Types of banks and their role in the international financial market.
- •42. The global equities market: size, indicators, principles of organization.
- •43. The global debt securities market: composition, principles of organization.
- •44. The international debt securities: types and organization.
- •45. The government bond markets: size, composition, significance.
- •46. Mortgage-backed securities: mechanism of issuance, the role in the international financial crisis of 2007-2009.
- •47. Exchange-traded derivatives: types, functions, mechanism of trading.
- •48.Otc derivatives. Swaps.
- •49. Types of institutional investors and their role in the global financial markets.
- •50. The functions of the international financial organizations (imf, World Bank, bis).
- •International trade financing
- •52. International banking: the structure and operational function, the services offered, and measures to improve the efficiency and effectiveness of the international banking organization.
- •53. The major issues in International banking: international money laundering, international banking crisis, regulation of international banking, and offshore banking markets.
- •54. Acquisitions and Mergers in Financial Services Management.
- •55.Measuring and evaluating the performance of banks: financial ratio analysis, profitability analysis.
- •57. Bank Financial Management:
- •58.(И.Р.)Requirements for an effective audit and evaluation of evidence (Не полностью описал)
- •59. The audit process and audit report
- •60. Generally Accepted Auditing Standards and Code of Professional Conduct
- •Accounting principles;
- •Confidential client info not disclose without specific consent.
- •61. Cost concepts, classification, and allocation.
- •62. Job order costing system & cost flow
- •63. Process costing and equivalent production
- •65.(И.Р.)Cost behavior and cvp analysis
- •66. Accounting Cycle, Generally Accepted Accounting Principles, and Financial Statements
- •Accounting Cycle – Steps During the Accounting Period
- •Accounting Cycle: Steps at the end of the accounting period
- •67. Merchandising operations & inventories
- •Inventory Costing Methods
- •Perpetual fifo
- •Perpetual lifo
- •68. Internal control, cash and receivables
- •69. Current & long term Liab.
- •70.Long term Assets.
- •71. Contributed Capital & corporate statements.
- •72.(И.Р.)Cash flow statement
- •73. Accounting Rate of Return Method as an Investment Rule. Application and possible Problems
- •74. Payback Method as an Investment Rule. Application and possible Problems.
- •75. Internal Rate of Return Method as an Investment Rule. Application and possible Problems.
- •76. Profitability Index Method as an Investment Rule. Application and possible Problems.
- •1) The method requires an estimate of the cost of capital in order to calculate the profitability index
- •2) The method may not give the correct decision when used to compare mutually exclusive projects.
- •77. Net Present Value Method as an Investment Rule. Application and possible Problems.
- •78. Capital Structure Concept.
- •79. Dividend Policy
- •80. Arbitrage Pricing Theory (apt)
- •81. Capital Asset Pricing Model (capm)
- •82. Fama and French Three Factor Model of Assets Pricing
- •83. Duration concept, application, concept of convexity, and how convexity affects macalay’s duration
- •83. Duration concept, application, concept of convexity, and how convexity affects macalay’s duration
- •84. Valuation based on Price Multiples: p/e, p/bv, p/s.
- •85. (И.К.)Asset Based Valuation Model, Residual Income Valuation Model Asset-based valuation
- •86.(И.Р.)Dividend Discount Model
- •87. Discounted Cash Flow (dcf) Valuation Model
- •88. Capital Structure: Differences between Companies
- •89. Capital structure: Differences between Countries.
- •90. Exporting as a foreign market mode, merits, demerits
- •91. Collaborative Arrangements: Licensing, Franchising, Management Contracts
- •92. (И.К.)Risky assets and portfolio optimization problem.
- •Investors can use either a top-down or bottom-up approach:
- •95. Credit Risk Models
- •96. International Diversification: investing in different markets.
- •97. Translation exposure
- •98. Transaction Exposure.
- •99. Operational Exposure
- •100.(И.Р.)Foreign Direct Investments: Joint Ventures, wholly owned Subsidiaries
- •101. Securitization (s): creation of abSs, participants and functions, securitization’s impact and risks, regulators’ concerns.
- •103. Classification and comparative characteristics of derivatives.
- •1.By the relationship between the underlying asset and the derivative :
- •3.By the market in which they trade:
- •1.Call and Put options
- •2.Exchange-traded or Over-the-counter (otc) options
- •105. Swaps: concept, types, strategies for using
- •106. Futures: concept, types, strategies for using
Investors can use either a top-down or bottom-up approach:
1.The top-down investor starts his analysis with global economics, including both international and national economic indicators, such as GDP growth rates, inflation, interest rates, exchange rates, productivity, and energy prices. He narrows his search down to regional/industry analysis of total sales, price levels, the effects of competing products, foreign competition, and entry or exit from the industry. Only then he narrows his search to the best business in that area.
2.The bottom-up investor starts with specific businesses, regardless of their industry/region.
As a non-mechanical methods of forecasting also Behavioral models can be used. They make predictions integrate insights from psychology with neo-classical economic theory.
(про behavioral models лучше не особо говорить, если увидите что просто fundamental analysis не очень убедил и комиссия спросит какие еще методы вы знаете, тогда можете попробовать всунуть про Beh.finance).
95. Credit Risk Models
Credit risk is an investor's risk of loss arising from a borrower who does not make payments as promised. Such an event is called a default.
Types of credit risk:
Default risk
Credit spread risk
Downgrade risk
Credit risk includes Sovereign risk is the risk of a government becoming unwilling or unable to meet its loan obligations, or reneging on loans it guarantees. The existence of sovereign risk means that creditors should take a two-stage decision process when deciding to lend to a firm based in a foreign country. Firstly one should consider the sovereign risk quality of the country and then consider the firm's credit quality.
Five macroeconomic variables that affect the probability of sovereign debt rescheduling are: Debt service ratio; Import ratio; Investment ratio; Variance of export revenue; Domestic money supply growth
And Counterparty risk, (otherwise known as default risk), is the risk that an organization does not pay out on a bond, credit derivative, credit insurance contract, or other trade or transaction when it is supposed to. Even organizations who think that they have hedged their bets by buying credit insurance of some sort still face the risk that the insurer will be unable to pay, either due to temporary liquidity issues or longer term systemic issues.
The type of credit risk model used to estimate a rating and a probability of default of a borrower is a central question. If the model used to establish the ratings is wrong then: (1) the pricing of the credit itself will be wrong, (2) the equity requirement won’t be optimal and (3) the risk itself won’t be correctly evaluated. Traditionally, two types of models are opposed: structural models and reduced forms models. The structural models are based on the firm value. The reduced forms models are ’intensity based models’.
The structural credit risk model, or asset value model is a model for assessing credit risk, typically of a corporation's debt (KMV model).
The model considers a corporation financed through a single debt and a single equity issue. The debt comprises a zero-coupon bond that matures at time t = t*, at which time it is to pay investors b dollars. The equity pays no dividends.
Intensity based model
The model is designed for large portfolios of corporate bonds. It does not explain default table term structure of interest rate. It fits term structure of interest rate into market data. The defaults are exogenous.
B(t; T) = _B(t;Nt ; rt ; T); where Nt is the number of defaults in [0; T] in the portfolio. Nt will be modeled by the Non-homogeneous Poisson Process named Cox process.
