The Economic Survey 2024-25, presented on January 31, 2025, provides an in-depth review of India’s economic performance, challenges, and growth outlook. Serving as a prelude to the Union Budget 2025-26, it outlines key sectoral developments and the government’s focus on sustainable growth.
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Structural slowdown in India’s economy — Manik Narain, UBS (Jan-2025)
UBS’s January 2025 report, led by Manik Narain, warns of a structural slowdown in India’s $4 trillion economy, advising investors to short the rupee and adopt an underweight position in equities. The decline is attributed to long-term issues, not just cyclical factors like oil prices or government spending cuts.
UBS’s recent report (Jan-2025), led by Manik Narain, highlights a significant structural slowdown in India’s economy, prompting the bank to recommend investors short the Indian rupee and adopt an underweight position in Indian equities.
This assessment comes as India’s economy, valued at approximately $4 trillion, experiences a decline that cannot be solely attributed to cyclical factors such as oil price fluctuations or decreased government spending.
Continue reading “Structural slowdown in India’s economy — Manik Narain, UBS (Jan-2025)”Backtesting: Return on Account
Return on Account in backtesting a trading strategy is a key metric calculated as the percentage increase in the trading account’s value over the backtested period, providing a measure of the strategy’s overall profitability relative to the initial account size
Backtesting: Relative to Buy/Hold Index
Relative to Buy/Hold Index in backtesting a trading strategy is a metric expressing the percentage difference between the strategy’s cumulative returns and the cumulative returns of a passive buy-and-hold approach, offering insights into the strategy’s performance relative to a simple, long-term investment strategy
Backtesting: Maximum Drawdown
Maximum Drawdown in backtesting a trading strategy is the maximum percentage decline from a strategy’s peak equity to its lowest point, serving as a crucial risk metric to assess the largest potential loss experienced during the backtested period
Backtesting: The Return Ratio
Return Ratio in backtesting a trading strategy is a key metric representing the efficiency of the strategy by evaluating the ratio of its average return per trade to the average risk per trade, providing insights into risk-adjusted performance and overall effectiveness
Backtesting: Average Win per Trade & Average Loss per Trade
“Average Win per Trade” is the average profit earned per trade, providing insights into the strategy’s typical success in capitalizing on profitable opportunities; “Average Loss per Trade” represents the average amount of loss incurred per trade, offering insights into the strategy’s risk management and loss mitigation effectiveness
Backtesting: The Success Rate
The success rate in backtesting a trading strategy represents the percentage of winning trades relative to the total number of trades executed, offering a quick assessment of the strategy’s ability to generate profitable outcomes based on historical market data
Backtesting: The Retention Rate
The retention rate in backtesting a trading strategy, calculated as the ratio of the difference between gross profits and gross losses to gross profits, provides insight into the strategy’s effectiveness in preserving profits relative to incurred losses during historical simulations
Backtesting: The Profit Factor
The profit factor in backtesting a trading strategy is a key performance metric calculated as the ratio of gross profits to gross losses, providing a measure of the strategy’s overall profitability and its ability to generate more profits than losses