💲Intro to Investments Unit 1 – Intro to Investments & Financial Markets
Financial markets are the backbone of the investment world, facilitating the exchange of assets between buyers and sellers. These markets encompass various types, including capital markets for long-term funding and money markets for short-term investments.
Investments involve committing capital to generate returns, but they come with inherent risks. Understanding key concepts like diversification, market efficiency, and risk-return relationships is crucial for making informed investment decisions and building effective portfolios.
Financial markets facilitate the exchange of financial assets and instruments between buyers and sellers
Investments involve committing money or capital with the expectation of generating a profit or positive return
Risk refers to the uncertainty and potential for financial loss associated with an investment
Return represents the gain or loss generated from an investment over a specific period
Liquidity describes the ease and speed at which an asset can be converted into cash without affecting its market price
Diversification involves spreading investments across different asset classes, sectors, or geographies to manage risk
Market efficiency hypothesis suggests that asset prices reflect all available information and trade at fair value
Efficient markets make it difficult for investors to consistently outperform the market
Types of Financial Markets
Capital markets enable companies and governments to raise long-term funds through the issuance of stocks and bonds
Primary markets involve the initial sale of securities to investors (initial public offerings)
Secondary markets facilitate the trading of previously issued securities among investors (stock exchanges)
Money markets provide short-term funding and investments with maturities of less than one year (Treasury bills, commercial paper)
Derivatives markets trade financial instruments whose value is derived from an underlying asset (futures, options, swaps)
Foreign exchange markets enable the trading of currencies and determine exchange rates
Commodities markets facilitate the buying and selling of physical goods (precious metals, agricultural products, energy)
Cryptocurrency markets involve the trading of digital or virtual currencies that use cryptography for security (Bitcoin, Ethereum)
Investment Instruments and Assets
Stocks represent ownership in a company and provide investors with potential capital appreciation and dividend income
Common stocks grant voting rights and variable dividends based on company performance
Preferred stocks offer fixed dividends and priority in receiving payments but typically do not carry voting rights
Bonds are debt securities that obligate the issuer to make periodic interest payments and repay the principal at maturity
Government bonds are issued by national governments and are considered low-risk investments (Treasury bonds)
Corporate bonds are issued by companies and offer higher yields but carry more default risk
Mutual funds pool money from multiple investors to purchase a diversified portfolio of stocks, bonds, or other securities
Exchange-traded funds (ETFs) trade like stocks on exchanges and track the performance of an underlying index or asset class
Real estate investments include direct property ownership, real estate investment trusts (REITs), and mortgage-backed securities
Commodities can be invested in directly or through futures contracts, providing diversification and potential hedging benefits
Risk and Return Fundamentals
Risk and return are positively correlated higher potential returns generally come with higher levels of risk
Systematic risk affects the entire market and cannot be diversified away (interest rates, inflation, economic downturns)
Unsystematic risk is specific to individual securities or companies and can be mitigated through diversification
Standard deviation measures the dispersion of returns around the mean, indicating the level of volatility
Beta measures the sensitivity of an asset's returns to market movements a beta greater than 1 indicates higher volatility than the market
Sharpe ratio assesses risk-adjusted returns by comparing the excess return of an investment to its standard deviation
Capital Asset Pricing Model (CAPM) describes the relationship between systematic risk and expected returns for securities
Market Analysis Techniques
Fundamental analysis involves evaluating a company's financial health, management, and competitive position to determine its intrinsic value
Key metrics include price-to-earnings ratio (P/E), debt-to-equity ratio, and return on equity (ROE)
Discounted cash flow (DCF) analysis estimates the present value of future cash flows to determine fair value
Technical analysis uses historical price and volume data to identify trends and predict future price movements
Chart patterns (head and shoulders, cup and handle) and trend lines are used to generate trading signals
Moving averages and oscillators (RSI, MACD) help identify momentum and overbought/oversold conditions
Sentiment analysis gauges market sentiment through surveys, news analysis, and social media monitoring
Quantitative analysis employs mathematical and statistical models to identify profitable trading opportunities
Efficient Market Hypothesis (EMH) suggests that market prices reflect all available information, making it difficult to consistently outperform
Investment Strategies
Value investing focuses on identifying undervalued securities trading below their intrinsic value (Warren Buffett)
Growth investing targets companies with strong earnings growth potential and high price-to-earnings ratios
Income investing prioritizes regular income generation through dividends and interest payments (bonds, dividend-paying stocks)
Momentum investing involves buying securities that have recently outperformed and selling those that have underperformed
Contrarian investing takes positions opposite to prevailing market sentiment, betting on reversals in trends
Dollar-cost averaging involves investing fixed amounts at regular intervals to smooth out market fluctuations
Asset allocation determines the mix of asset classes in a portfolio based on risk tolerance and investment goals
Strategic asset allocation sets long-term targets for each asset class
Tactical asset allocation makes short-term adjustments based on market conditions
Regulatory Environment
Securities and Exchange Commission (SEC) regulates the securities industry, enforces federal securities laws, and protects investors
Financial Industry Regulatory Authority (FINRA) oversees broker-dealers and enforces rules governing their activities
Sarbanes-Oxley Act (SOX) enhances financial disclosures and corporate responsibility to protect investors from fraudulent practices
Dodd-Frank Wall Street Reform and Consumer Protection Act aims to prevent another financial crisis through stricter regulations
Insider trading laws prohibit trading based on material, non-public information and ensure fair access to information for all investors
Anti-money laundering (AML) regulations require financial institutions to detect and prevent the laundering of illicit funds
Know Your Customer (KYC) rules mandate that financial institutions verify the identity and assess the risk profile of their clients
Practical Applications and Case Studies
Portfolio construction involves selecting a mix of assets that aligns with an investor's goals, risk tolerance, and time horizon
Modern Portfolio Theory (MPT) emphasizes diversification to maximize returns for a given level of risk
Black-Litterman model incorporates investor views and market equilibrium to optimize asset allocation
Performance evaluation measures the success of an investment strategy relative to a benchmark or target return
Treynor ratio, Sortino ratio, and Information ratio are common risk-adjusted performance metrics
Behavioral finance examines the psychological factors that influence investor decision-making and market anomalies
Prospect theory suggests that investors are more sensitive to losses than gains and make decisions based on perceived gains and losses
Herd behavior occurs when investors follow the crowd, leading to market bubbles and crashes
Robo-advisors use algorithms and technology to provide automated, low-cost investment management services
Environmental, Social, and Governance (ESG) investing incorporates non-financial factors into investment decisions to promote sustainability and social responsibility
Case studies
The dot-com bubble of the late 1990s demonstrates the importance of fundamental analysis and the dangers of market speculation
The 2008 global financial crisis highlights the systemic risks posed by complex financial instruments and the need for robust regulations