Understanding Corporate Finance

Explore how corporate finance estimates capital requirements, raises funds, and allocates debt, equity, and hybrids to support working and fixed capital, while monitoring returns and expansion.

Understand how to balance debt and equity to optimize a company's capital structure, reduce the cost of capital, and manage risk through gearing.

Explore how the interest tax shield lowers tax expense and its present value, and weigh tax savings against costs of financial distress in the trade-off theory of capital structure.

Explore how debt and equity funding create financial leverage, balancing higher rewards against risk, and understand tax advantages and the debt-to-equity framework that underpins WACC.

Learn how the degree of financial leverage (DFL) links EPS volatility to changes in EBIT, operating expenses, taxes, and capital structure, using WACC, CAPM, and beta to guide decision making.

Explore arbitrage pricing theory's use of macroeconomic factors and beta coefficients to determine the cost of equity. Aim for the optimal capital structure to minimize the wacc.

Explore net present value and internal rate of return in capital budgeting to evaluate fixed assets and capital investments for profitability using present value and discount rates.

Explain how the internal rate of return (IRR) sets the discount rate that makes the npv zero and how IRR ranks projects against the required rate and the securities market.

Analyze profitability, liquidity, leverage, and efficiency using standardized ratios such as gross profit margin, return on equity, current ratio, and asset turnover.

Learn how to value a company by computing enterprise value from market capitalization, debt, preferred shares, and minority interest. Subtract cash and cash equivalents to arrive at the firm value.

Explore valuation methods for business units and projects, including asset-based, capitalization, and DCF. Apply indicators like EBITA/EBIT and multiples such as EV/EBITA and PE to determine enterprise or equity value.

Assess a company's current value by projecting future free cash flows, discounting them at the weighted average cost of capital to obtain npv, and note APV as an alternative.

Compare free cash flow to the firm and to equity; apply terminal value methods and discounted cash flow with wacc to derive npv.

Assess common stock valuation using fundamental analysis of financial statements, price-earnings ratio, and dividend payout, or a technical approach with charts; apply the dividend discount model, noting limits.

Explore how derivatives derive value from assets, including futures, options, forwards, and swaps. See how forward prices are set, delivery prices fixed, and exchange-traded versus OTC derivatives manage currency risk.

Investigate futures contracts as standardized, exchange-traded agreements to buy or sell assets at a future price, with margins, long and short positions, and a zero-sum price dynamic.

Explain how call and put options work, focusing on European call options: strike price, expiration, exercise decisions, intrinsic value, time value, and long versus short positions.

Understand how swaps and currency swaps exchange cash flows and notional principal amounts, converting floating to fixed rates via vanilla interest rate swaps, with settlements and variance payments.

Understand how the Black-Scholes model values options by considering stock price, intrinsic value, time to expiration, volatility, and interest rates.

Examine how volatility and interest rates influence the cost of issuing stock options and the value of call and put options, with dividends and exercise price shaping outcomes.

Analyze price movements, volume, and chart patterns to identify trends using indicators and oscillators. Recognize how support and resistance, trend direction, and market breadth shape trading decisions within technical analysis.

Explore uptrends, horizontal trends, and downward trends, and how major, long term, intermediate, and near term classifications shape stock price movements. Learn how support and resistance trend lines guide timing.

Learn how support and resistance form trend channels, signal breakouts, and guide profit-taking, while volume confirms trends and signals reversals when momentum shifts.

Use moving averages to smooth price data, identify trends and reversals, and reveal support and resistance; compare simple, linear weighted, and exponential averages, with exponential more responsive.

Explore macd's use of two exponential moving averages to measure momentum, plotting their difference against a center line; positive signals upward momentum, negative signals downward momentum, stochastic oscillator signals momentum.

Learn how technical analysis uses price charts for short-term trading while fundamental analysis relies on financial statements for long-term investing, and how many combine both approaches.

Forecasting drives planning and budgeting across finance and operations by projecting cash flows, sales, and capital needs, using quantitative models from historical data or qualitative judgments from executives and surveys.

Explore regression analysis to see how a dependent variable changes with an independent variable, using covariance and correlation to assess relationships, and interpret r-squared, intercept, and slope.

Build time series models using lag values and autocorrelation to forecast values, employing arma methods and box-jenkins approaches. Explore level, trend, seasonality, and noise patterns and co integration in series.

Analyze forecast errors arising from measurement and modeling flaws, including spurious relationships and regressions. Examine heteroscedasticity forms, conditional and unconditional, volatility clustering, multicollinearity, and detection in finance time series.

Explore seasonality in time series and how predictable yearly patterns guide inventory and staffing decisions, while recognizing stock market seasonal trends, window dressing, January and Monday effects and their limits.

Apply smoothing to time series with seasonal data to reveal trends and components. Employ moving averages and exponential smoothing, emphasizing recent observations for short-run forecasting by financial managers.

Explore qualitative forecasting techniques used when quantitative data are unavailable or unreliable, including executive opinions, the Delfi method, sales force input, grassroots forecasts, and consumer surveys.

Assess client portfolios and investment philosophies while guarding against behavioral biases in asset selection. Evaluate meetings with Carpenter, Berkely, and Tumeric to infer use of fundamental and technical analysis.