My first business was a success, defying the odds when 90% of first-time founders fail.
Yet, I was clueless.
If I were to embark on this journey again, here’s what I would do.
But first, let me share a bit about my background.
Over a decade ago, I held a middle management position at a large multinational consultancy, enjoying a six-figure salary and all the accompanying perks. My office was nestled in a towering glass skyscraper in the heart of the business district.
I dedicated myself wholeheartedly to my employer, giving it my all and earning respect as a high performer.
However, my world shifted when I learned I was passed over for a promotion in favour of someone, albeit deserving, who wasn't superior to me in capabilities.
A month later, I marched into my boss’s office and tendered my resignation.
While my departure didn’t surprise anyone given my high performance and extensive professional network, my decision to start my own business left everyone stunned, assuming I would jump ship to another firm.
Leveraging my consulting background, I ventured into the consulting business. As demand for my services grew, I expanded my client portfolio and eventually stabilized my consulting income. With a solid foundation in place, I gradually explored riskier ventures.
So, if I were to start anew, here’s my plan:
1. Begin with a service-based business like consulting or coaching,
2. Stabilize and optimize it,
3. Diversify into product-based businesses,
4. And then explore other, riskier ventures.
What's your entrepreneurial journey? Share it with me in the replies below.
Does Regression Still Work in Modern Markets?
These studies suggest that simple regression techniques, whether linear or logistic, remain useful tools for systematic trading even in the modern era. Despite the rapid growth of machine learning and AI, … https://t.co/Ynl0Bpkxr1
Does Regression Still Work in Modern Markets?
These studies suggest that simple regression techniques, whether linear or logistic, remain useful tools for systematic trading even in the modern era. Despite the rapid growth of machine learning and AI, relatively straightforward…
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The results show that overnight returns exhibit a persistent positive drift, while daytime returns are significantly weaker, and the best-performing strategies are those that maintain long exposure overnight… https://t.co/lNL33KJJXy
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The results show that overnight returns exhibit a persistent positive drift, while daytime returns are significantly weaker, and the best-performing strategies are those that maintain long exposure overnight. A simple overnight-only …
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A significant amount of research has been conducted on the volatility risk premium (VRP). Reference [1] contributes to this literature by linking the VRP to the parameters of the Heston model…
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Backtesting is an essential part of quantitative strategy development, and naturally, strategies are often selected based on strong backtest performance. However, an important question when evaluating …
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Volatility Risk Premium and Clustering: Intraday vs Overnight Dynamics
These studies show that volatility dynamics differ significantly between intraday and overnight periods, both in terms of risk pricing and clustering behavior. The variance risk premium is largely driven by…
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Two strands of research on investment strategies are discussed.
The first revisits option-based strategies and shows that simple passive approaches no longer deliver attractive risk-adjus… https://t.co/5OuSzyqx1E
Evaluating Option-Based Strategies and Dollar-Cost Averaging
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The first revisits option-based strategies and shows that simple passive approaches no longer deliver attractive risk-adjusted returns, although more …
Machine Learning for Derivative Pricing and Crash Prediction
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