- •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
84. Valuation based on Price Multiples: p/e, p/bv, p/s.
The P/E ratio (price-to-earnings ratio) of a stock (also called its "P/E", or simply "multiple") is a measure of the price paid for a share relative to the annual net income or profit earned by the firm per share.[2] Unlike EV/EBITDA multiple, P/E reflects the capital structure of the company in question. P/E is a financial ratio used for valuation: a higher P/E ratio means that investors are paying more for each unit of net income, so the stock is more expensive compared to one with lower P/E ratio. The P/E ratio has units of years,[note 1] which can be interpreted as "number of years of earnings to pay back purchase price", ignoring the time value of money. In other words, P/E ratio shows current investor demand for a company share. The reciprocal of the P/E ratio is known as the earnings yield.[3] The earnings yield is an estimate of expected return to be earned from holding the stock if we accept certain restrictive assumptions (a discussion of these assumptions can be found here).
P/E is not a useful measure of financial performance of a company, because stock prices are very sensitive to investor expectations about the future. P/E days little about a company’s current financial performance, but indicates what investors believe about future prospects. P/B is used to compare a stock's market value to its book value. It is calculated by dividing the current closing price of the stock by the latest quarter's book value per share, or the company's market capitalization can be divided by the company's total book value from its balance sheet.
A lower P/B ratio could mean that the stock is undervalued. However, it could also mean that something is fundamentally wrong with the company. As with most ratios, it varies a fair amount by industry. Industries that require more infrastructure capital (for each dollar of profit) will usually trade at P/B ratios much lower than, for example, consulting firms. This ratio also gives some idea of whether you're paying too much for what would be left if the company went bankrupt immediately.
P/B ratios do not, however, directly provide any information on the ability of the firm to generate profits or cash for shareholders.
P/S is calculated by dividing a stock's current price by its revenue per share for the trailing 12 months, or by dividing the company's market cap by the company's revenue in the most recent year. The smaller this ratio (i.e. less than 1.0) is usually thought to be a better investment since the investor is paying less for each unit of sales. However, sales do not reveal the whole picture, as the company may be unprofitable with a low P/S ratio. Because of the limitations, this ratio is usually used only for unprofitable companies, since they don't have a price/earnings ratio (P/E ratio).[1] The metric can be used to determine the value of a stock relative to its past performance. It may also be used to determine relative valuation of a sector or the market as a whole. PSRs vary greatly from sector to sector, so they are most useful in comparing similar stocks within a sector or sub-sector.
