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A truly random market is entirely unpredictable, by definition.
"He constructed a model of an alternate financial universe in which investors weren't rational and prices didn't reflect fundamental values — and showed that, over a 50-year observation period, there was no way to differentiate it statistically from a rationally random market," Mr. Fox writes.
To find out whether humans can reliably distinguish between real and random market data, Jasmina Hasanhodzic at AlphaSimplex, an investment strategy company in Cambridge, Mass, Andrew Lo at MIT's Sloan School of Management, who founded AlphaSimplex and Emanuele Viola at NorthEastern University, have devised a simple experiment.
We identified some possible factors that have contributed to this result: 1) the overestimated effective market order size, which can be improved by using two average order size parameters; 2) the random market order arrival time designed in the DFGIS model; 3) the zero-intelligence of the artificial agents in our model; and 4) the price of the effective market order.
While he couldn't predict random market events, he did create software to help keep track of companies' fundamentals: price-to-earnings ratios (P/Es), price-to-book ratios, earnings growth, etc.
"Bull Market - A random market movement causing an investor to mistake himself for a financial genius".
Similar(53)
However, there will likely be a steady stream of trailers, teasers and random marketing until it's hyped to unreasonable levels.
This will mean less random marketing tech purchases, more commitment to connecting it all, and a greater focus on how to draw insights and action from the plethora of customer data now at our disposal.
True believers in random markets will, with almost superhuman discipline, buy stocks whatever the short-term move and work on the basis that bad and good luck will cancel each other out in time.
Even with persuading evidence and arguments for "mainly random" markets, most investment and trading still operates on the basis that if you are smart enough or have the right tools, you can predict and pre-empt the future.
Statistical quant models made billions of dollars for hedge funds from random stock-market movements.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com