Humans are a social species, and therefore we are all connected to each other through a variety of ways.
This is especially true in regards to financial matters. Traders & Investors respond not only to relatively objective economic considerations, but also to political and pure speculation or rumour.
Movements in stock prices on a daily basis are generally limited to 1% to 3%. This would describe the Gaussian curve for price movement.
However, stock prices will also move 10%, 20%, and sometimes even more. These price movements are supposedly statistically rare.
However, Mandlebrot, clarified that these so called anomalies, were actually a lot more common than statistically suggested. Hence the phenomena of fat-tails
What has been subsequently hypothesised, is the reason for this fat-tail phenomenon. And this is the power law
The power law relates to connectivity and networks. Informal network studies, initially, or partly came about from the Erdos law
Erdos, was a prominant mathematician, who wrote possibly hundreds of papers, often collaborating, or having original work updated.
This led to a system of detailing how close to the original work, the subsequent mathematician was, and assigning an "Erdos" number.
Power laws were adapted by Barabasi, to measure the size of the internet. Anyway, the relevance to the market, fat-tails, and price movements is this.
If the Barabasi model is correct, then the financial networks have a definite shape and inter-connectedness. Most of the time, this makes no difference, and "price" stays within the Gaussian curve, or normal distribution.
However, in times of high volume, the trades become very strongly influenced by a relatively few central nodes to the network, which causes a reinforcement of the initial move.
High volume is a proxy for herd thinking, with the inter-communication and reinforcement of the same idea.
Of course this is a corollory to "when all think the same, no-one thinks at all".
However, a monitoring of the nodes, may, or possibly provide insight as to future outcomes, if of course you place any faith in this sort of thing in the first place.
cheers d998
This is especially true in regards to financial matters. Traders & Investors respond not only to relatively objective economic considerations, but also to political and pure speculation or rumour.
Movements in stock prices on a daily basis are generally limited to 1% to 3%. This would describe the Gaussian curve for price movement.
However, stock prices will also move 10%, 20%, and sometimes even more. These price movements are supposedly statistically rare.
However, Mandlebrot, clarified that these so called anomalies, were actually a lot more common than statistically suggested. Hence the phenomena of fat-tails
What has been subsequently hypothesised, is the reason for this fat-tail phenomenon. And this is the power law
The power law relates to connectivity and networks. Informal network studies, initially, or partly came about from the Erdos law
Erdos, was a prominant mathematician, who wrote possibly hundreds of papers, often collaborating, or having original work updated.
This led to a system of detailing how close to the original work, the subsequent mathematician was, and assigning an "Erdos" number.
Power laws were adapted by Barabasi, to measure the size of the internet. Anyway, the relevance to the market, fat-tails, and price movements is this.
If the Barabasi model is correct, then the financial networks have a definite shape and inter-connectedness. Most of the time, this makes no difference, and "price" stays within the Gaussian curve, or normal distribution.
However, in times of high volume, the trades become very strongly influenced by a relatively few central nodes to the network, which causes a reinforcement of the initial move.
High volume is a proxy for herd thinking, with the inter-communication and reinforcement of the same idea.
Of course this is a corollory to "when all think the same, no-one thinks at all".
However, a monitoring of the nodes, may, or possibly provide insight as to future outcomes, if of course you place any faith in this sort of thing in the first place.
cheers d998