14.8K
JAUnderstanding the difference between a fixed cost and a variable cost can make your ecommerce business more profit.
@jaywrightofficial
#Variable Cost
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KN💡Every choice has a cost.
That cost is called Opportunity Cost — the value of the next best alternative forgone.
Understanding this concept helps in better decision making in economics and daily life.
📌 Save for revision
📚 Follow @knittingknowledge
#economicsclass #conceptart #microeconomics #studygram #concept
@knitting.knowledge
69.3K
MA🚀 Escape the Pricing Trap: Shift from Commodity to Value
🌟 Most Businesses Price The Wrong Way
✅ 80% use competitive comparison—racing to the bottom.
✅ 15% use cost+—a slight improvement, but still limiting.
✅ Both are commodity pricing models that kill profitability.
💡 The Value-Driven Approach
🔑 Price based on the value you create, not what others charge.
🔑 Clients who see the value will ask, “What’s the most expensive thing you can sell me?”
🔑 Higher investment = Higher return when positioned correctly.
🚀 Key Takeaway
Stop competing on price. When you shift to value-based pricing, you attract better clients, bigger deals, and higher profits.
💬 Ready to break free from the commodity pricing trap?
Comment "Explore" and I’ll DM you a strategy for premium positioning.
#ValueBasedPricing #PricingStrategy #BusinessGrowth
@markcoudray
97.7K
EXDo you know how to create variance chart in excel
@excel_tips_for_all
1.8K
BREvery choice costs more than you think. Read the full post link in bio!
@breaedonomics
67.7K
SHThis is how some overconfident math geeks nearly destroyed the global financial system 📉🤯
Value at Risk (VaR) isn’t a dangerous formula by itself. It’s actually quite useful , it tells you the maximum you could lose 99 percent of the time
The danger? The context it was used in
Every major firm on wall street lived and died by this number. They trained it on calm years (2001–2005) , ignored tail risks and handed executives a number that basically screamed “we’ve got this under control.”
They didn’t.
Charles Wheelan nails it perfectly in Naked Statistics:
“The VaR was like a faulty speedometer — which is arguably worse than no speedometer at all.
If you trust a broken speedometer, you stop paying attention to everything else around you.
And that’s exactly what happened.
The model gave false precision which created false confidence
So when that 1 percent event hit, nobody was looking out the window anymore.
VaR has been called “potentially catastrophic”and “a fraud” — not because the math was wrong, but because smart people forgot that statistics cannot be any smarter than the people who use them 🧠
📚 Book: Naked Statistics by Charles Wheelan — highly recommend if you want to actually understand how numbers can both lie and tell the truth.
Here’s a question for you?
You leave a bar with a blood level alcohol of .15%. There’s a 1% chance that you crash and die. Do you drive?
@shubh856
1.3M
SUWACC (Weighted Average Cost of Capital) is a concept that causes a TON of confusion.
It’s usually taught with formulas and a bunch of finance theory, but the underlying point is often missed when this concept is explained.
The critical thing to understand here is that any asset is by definition funded by capital (typically debt and equity). And further any capital provider will have a target rate of return based on the risk that they are taking.
If we were to look at just the target return of one individual provider of capital, we wouldn’t capture the target rate of return for the entire asset, but rather the target rate of return of that individual capital provider based on their position in the hierarchy.
So with the weighted average cost of capital formula, we take a weighted average expected return of all the capital providers which shows us the overall expected target return for the asset as if it was owned outright by a single person/entity.
Follow @survivefinance to level up your finance game every day.
#investmentbanking #privateequity #interviewprep #internships
@survivefinance
51.0K
REYour data shouldn’t decide the price of your groceries.
Surveillance pricing lets corporations use your highly-personalized data to determine the highest price youʻre willing to pay for a product and raise profits at your expense. 💰👎💰 Itʻs a practice that is widespread in industries like airlines and hotels, but now consumer advocates worry that it’s making its way into our grocery stores and driving up the cost of food. 📈🛒💸
I’ve introduced HB2458 to ban surveillance pricing on food products and protect consumers from this discriminatory, data-driven price hikes.
Watch this space as HB2458 moves through the legislature. 👀
@repgrandinetti
977.4K
MAProbability is the foundation of quant finance, turning uncertainty into measurable risk. Models like Black-Scholes use probability distributions to price options, assuming log-normal returns. Firms like Citadel run millions of Monte Carlo simulations daily, forecasting price paths. Value at Risk (VaR) quantifies loss probability — e.g., a 95% 1-day VaR of $10M means a 5% chance of losing more. In quant trading, every algorithm is built on probabilities — not guesses.
🌐 Link In bio.
Get Early Access to MacroGlide App — FREE market analytics tool for all market participants. Join before the public.
@macroglide
39.1K
JAWeighted average cost of capital (WACC)
#collegestudent #youngprofessional #financestudent #twenties
@jakegifforddoes
479.4K
HOClose Rate v.s. Pricing Rules
Follow for more business education.
@hormozi
177.1K
ADOption pricing decoded: probability, duality, and the quant mindset.
👉 Save this post for later
Drop a 🔥 if you’re staying consistent
🔔 Follow @advicefromtraders for daily content.
Source: MIT OpenCourseWare
Use: for educational and purposes only.
#Finance #Quant #OptionsTrading #MIT #Probability #Duality #TradingTips #Investing #QuantFinance
@advicefromtraders
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