- •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
81. Capital Asset Pricing Model (capm)
The capital asset pricing model (CAPM) Building on the earlier work of Harry Markowitz on diversification and modern portfolio theory, the capital asset pricing model (CAPM) was introduced by Jack Treynor (1961, 1962), William Sharpe (1964), John Lintner (1965) and Jan Mossin (1966) independently. Sharpe, Markowitz and Merton Miller jointly received the Nobel Memorial Prize in Economics for this contribution to the field of financial economics.
The
general idea behind CAPM is that investors need to be compensated in
two ways: time value of money and risk. The time value of money is
represented by the risk-free (rf) rate. The market risk premium
compensates the investor needs for taking on additional risk is
calculated by taking a risk measure (beta) that compares the returns
of the asset to the market over a period of time and to the market
premium.
Where
is risk-free rate,Rm – expected market return,
- the beta of asset.
Beta is the sensitivity of the expected excess asset returns to the expected excess market returns.
T
he
Security Market Line graphs the results from the capital asset
pricing model (CAPM) formula. The x-axis represents the risk (beta),
and the y-axis represents the expected return. The market risk
premium is determined from the slope of the SML.
The relationship between β and required return is plotted on the securities market line (SML), which shows expected return as a function of β. The intercept is the nominal risk-free rate available for the market, while the slope is the market premium, E(Rm)− Rf. The securities market line can be regarded as representing a single-factor model of the asset price, where Beta is exposure to changes in value of the Market. The equation of the SML is thus:
It is a useful tool in determining if an asset being considered for a portfolio offers a reasonable expected return for risk. Individual securities are plotted on the SML graph. If the security's expected return versus risk is plotted above the SML, it is undervalued since the investor can expect a greater return for the inherent risk. And a security plotted below the SML is overvalued since the investor would be accepting less return for the amount of risk assumed.
82. Fama and French Three Factor Model of Assets Pricing
The traditional asset pricing model, CAPM (Rpt) = Rf +Bp[(Rmt) - Rf], uses only one variable, Bp, to describe the returns of a portfolio or stock with the returns of the market as a whole. In contrast, the Fama–French model uses three variables. Fama and French started with the observation that two classes of stocks have tended to do better than the market as a whole: (i) the portfolio based of firm size (small caps and big caps) and (ii) portfolio based on M/B (market/book) ratios (stocks with a high book-to-market ratio (customarily called value stocks, contrasted with growth stocks)). They then added two factors to CAPM to reflect a portfolio's exposure to these two classes:
(Rpt) = Rf +Bp[(Rmt) - Rf] + sp(SMB) + hp(HML) + εpt, Should rewrite the equation:
(Rpt) -Rf = εpt +Bp[(Rmt) - Rf] + sp(SMB) + hp(HML), There are three factors
• [(Rmt) - Rf] - market size premium;
• SMB
=
- excess return of small stocks over big stocks, they measure the
historic excess returns of small caps over big caps
• HML
=
- excess return of high book-to-market stocks over low book-to-market
stocks, they measure the historic excess returns of value stocks over
growth stocks.
Βp- is the sensitivity of the asset returns to market returns,
sp, - is the sensitivity of the asset returns to return of SMB. It is the coefficient loading for the excess average return of portfolios with small equity class over portfolios of big equity class.
hp - is the sensitivity of the asset returns to return of HML. It is the coefficient loading for the excess average returns of portfolios with high book-to-market equity class over those with low book-to-market equity class.
εpt - is the error term for portfolio p at time t.
hp, sp, coefficients are determined by linear regressions and can take negative values as well as positive values. The Fama-French three factor model explains over 90% of the diversified portfolios returns, compared with the average 70% given by the CAPM (within sample). The signs of the coefficients suggested that small cap and value portfolios have higher expected returns—and arguably higher expected risk—than those of large cap and growth portfolios.
