Advanced concepts: Investment & Trading
Alpha and Beta:
Alpha and Beta are key performance and risk indicators.
a) Alpha:
Alpha indicates whether a portfolio outperformed or underperformed the market benchmark. If alpha is positive, the portfolio exceeded the benchmark, while a negative alpha indicates underperformance.
b) Beta:
Beta is a measure of a portfolio's correlation with market movements. Beta 1 indicates that the portfolio will fluctuate with the market. If beta is large (more than one), the portfolio will be more volatile than the market.
Derivative instruments are broadly classified into two sorts. Futures & Options :
Derivatives are financial instruments whose value is derived from an underlying asset, such as stocks, currencies, or commodities. There are two forms of derivative instruments: futures and options. Both are used by investors & traders to gain profit or hedge their portfolios.
a) Futures:
Futures contracts allow investors and traders to speculate or hedge their portfolios. They commit to buying or selling a specific asset at a predetermined date and price in the future. Futures are mostly used for hedging and speculation.
Example: Suppose you believe the price of crude oil will rise in the future. You can get into a futures contract in which you agree to purchase crude oil at a certain price. If the actual price rises, you will profit because you signed into the contract at a lower cost before in the agreement.
b) Options:
An option contract allows a buyer to buy or sell an asset at a specified price in the future, with no obligation. There are two types of options contracts available in the market: Call Options and Put Options.
Call Option:
It grants the buyer the right to purchase an asset at a pre-defined price in the future.
Put Option:
For example: if you believe the price of a given stock will decline, you can purchase a Put Option, which allows you to sell the stock at a higher price in the future, even if the actual price lowers.
2) Understanding Futures and Options for Hedging:
Hedging is a risk management approach that involves using derivatives to shield portfolios from market volatility.
a) Hedging using Futures:
Use futures to protect against price swings in your portfolio. For example, if you hold stocks and believe the market will collapse, you can offset the loss on those equities by selling futures contracts. This protects your portfolio from negative risk.
b) Using Options for Risk Hedging:
Options can also be used for risk mitigation. You can protect yourself from downside risk by purchasing Put Options. If the stock price declines, you can limit your losses by exercising your Put Option.
Example: Assume you hold 100 shares of "X" company at Rs.1000 each, and you believe the price will plummet. You can purchase a Put Option, which grants you the right to sell your shares for Rs.1000 per share in the future. If the price falls to Rs. 800, you can still sell your shares for Rs. 1000 per share.
3) The Risks and Rewards of Derivatives Trading:
Derivatives trading carries both high risks and large rewards, making it better suited to expert investors.
a) Reward:
Benefits: Derivatives offer leverage, allowing for significant exposure with minimal initial investment. This means that you can make a lot of money with very little capital.
Hedging: Derivatives enable you to hedge your portfolio, reducing downside risk.
Speculation: Derivatives enable traders to profit from short-term price changes. Futures and options can be utilized to speculate.
b) Risks:
Leverage Risk: Leverage, while profitable, raises the chance of loss. If the market moves against you, you may incur large losses.
Time Decay: Time decay is a concept in which the value of a choice decreases over time. If the favorable move does not materialize before the option expires, you risk losing your premium.
Market Volatility: The derivatives market is extremely volatile, with even minor price swings resulting in significant losses or gains.
4) Algorithmic Trading:
It is also known as Algo-trading. It use computer programs or algorithms to automatically make trading decisions based on predetermined criteria.
a) What is Algorithmic trading?
Algorithmic trading is an automated procedure in which algorithms execute trades according to established rules. These criteria are based on stock price, volume, timing, and other market indicators. Such trading systems catch market opportunities quickly and efficiently.
Example:Assume your program follows a predefined rule and buys a stock when its 50-day moving average crosses its 200-day moving average. As soon as this condition is met, the algorithm automatically conducts the transaction.
b) Basics of Creating Trading Algorithms:
Developing trading algorithms is a methodical procedure that takes into account several factors:
Data Collection: First, gather relevant data, such as stock prices, volume, and technical indicators.
Strategy Development: Define your trading strategy, which might be trend-following, mean reversion, or momentum-based. These techniques are based on specified rules that the algorithm must obey.
Backtesting: The algorithm is evaluated on historical data to determine how well the strategy has performed.
Execution: When the algorithm is used in the real market, it executes high-frequency trades efficiently.
Risk Management:
Algorithms also include risk management rules, such as stop-loss orders, to help prevent huge losses.
Using Options to Hedge Risk:
For example: Imagine you hold 100 shares of XYZ business and believe the stock price will fall. You can use a put option to hedge your position. If the price of XYZ stock declines, you can limit your loss by exercising your put option and selling your shares at the fixed price. This allows you to successfully hedge your portfolio's downside risk.
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