At AIEOU.world, our purpose is to decode complexity and spark conversations around the forces transforming financial services. From digital banking to insurtech, from fintech disruptions to capital market innovations, we bring together the voices of grads and gurus—fresh perspectives from the campus and deep expertise from the industry. By blending sharp analysis, real-world insights, and forward-looking ideas, we aim to help our readers understand not just what is happening, but why it matters and how to prepare for what’s next.

Passionate about bridging the gap between technology and finance to drive data-driven decision-making.

Deep expertise in equity trading, risk management, and financial modeling
Strong foundation in M&A, corporate finance, and portfolio analysis
Technical proficiency in Python, SQL, and advanced Excel

Strong analytical and problem-solving skills, combined with a growing expertise in financial analysis, investment strategies, and market research.

Banking, Insurance, and Capital Markets.

Banking, Insurance, and FinTech.
When Warren Buffett Holds $334 Billion in Cash… Should You Really Stay Fully Invested?
For the last 11 quarters, the “Oracle of Omaha” has been selling instead of buying.
Even Apple, once Berkshire’s crown jewel, has been cut down by nearly 69% since 2023.
Most investors talk about P/E ratio. But for banks & financials, the Price-to-Book (P/B) ratio often tells the deeper story.
Will ICICI Bank rise to dominate private banking in the next 5 years, or will HDFC Bank retain its crown?







The Price-to-Earnings (P/E) Ratio is among the most widely used metrics in finance and investment banking.
In investment banking, valuation is the heartbeat of every deal. Yet, no matter how advanced our models get — DCFs, trading comparable, precedent transactions — valuations are rarely absolute truths.
But here’s the twist — AI isn’t new. It existed in the 1970s, but lacked the fuel:
📊 data,
⚡ compute power (Nvidia GPUs),
🌐 and global adoption.
13-Sep-2025
Infosys trades at ~16.7× EV/EBITDA.
TCS at ~19.2×.
Wipro at ~16.4×.
Tech Mahindra at ~24.5×.
Most investors look at P/E ratio.
But in Investment Banking & Equity Research, EV/EBITDA is often the go-to multiple.
EV/EBITDA in simple terms:
EV/EBITDA = Enterprise Value ÷ EBITDA
It tells us how much the market (or an acquirer) is willing to pay for the company’s operating earnings, independent of capital structure.
📊 Why it matters:
➤ Neutral to debt/equity mix (unlike P/E).
➤ Useful in M&A comps, where buyers look at enterprise value.
➤ Allows cross-company comparisons on operating performance.
How to read it:
➤ EV/EBITDA < 12× → Often seen as “cheap”, but could signal slower growth or sector challenges.
➤ EV/EBITDA > 20× → Premium valuation, usually for companies with strong margins, growth visibility, or durable moats.
Current snapshot (Indian IT):
➤ Infosys (16.7×) → fair multiple, supported by strong client base & resilient margins.
➤ TCS (19.2×) → premium, rewarded for scale and consistent execution.
➤ Wipro (16.4×) → at discount, reflecting ongoing turnaround.
➤ Tech Mahindra (24.5×) → higher multiple amid restructuring bets & growth optimism.
But beware — where EV/EBITDA can mislead:
➤ Doesn’t capture differences in capex intensity (infra vs IT).
➤ Ignores working capital swings.
➤ High multiple ≠ overvaluation — sometimes it reflects quality of earnings.
Takeaway:
If P/E tells you what investors pay for equity, EV/EBITDA tells you what buyers would pay for the entire business.
Copyright © 2023 AIeou - All Rights Reserved.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.