Employment derivatives: Difference between revisions

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{{a|myth|{{image|Ironmountain1|jpg|}}}}{{d|Employment derivatives|/ɪmˈplɔɪmənt dɪˈrɪvətɪvz/|n|}}Financial instruments designed to manage the risk of employment variability. First developed in the early part of this millennium by derivatives pioneer and perennial boiler of pots, {{author|Hunter Barkley}}.
{{a|myth|{{image|Ironmountain1|jpg|}}}}{{d|Employment derivatives|/ɪmˈplɔɪmənt dɪˈrɪvətɪvz/|n|}}Financial instruments designed to manage the risk of employment variability. First developed in the early part of this millennium by derivatives pioneer and perennial boiler of pots, {{author|Hunter Barkley}}.
====Genesis====
====Genesis====
{{Drop|W|hen midway through}} his annual rant about the meaningless of life as viewed through the lens of income, Hunter Barkley had an epiphany. He knew his own pay packet was an unhedged contingency in his life: the perpetual disappointment it rained upon his sorry existence was well beyond his practical control. He knew, too, that his experience was common to the great dreary sweep of humankind as it blearily clambered across the clanking gears of global industry.  
{{Drop|W|hen he was}} deep into his annual rant about life’s meaningless when viewed through the lens of his income, Hunter Barkley had an epiphany. He knew his own pay packet was an unhedged contingency: the perpetual disappointment it rained upon him was beyond his reasonable control. Barkley knew, too, that his lot was common to the great, dreary sweep of humankind that clambered blearily across the clanking gears of industry.  


That was not his revelation, but this: just as that great collected horde of wage-slaves were at the several whims of wanton Gods, so too were their bosses. Logically, they ''must'' be: they were on the other side of the same trade.  
But that was not the revelation. It was this: just as the great collected horde of wage-slaves were at the several whims of wanton Gods, so too were their bosses. Logically, they ''must'' be: they were the other side of the same trade.  


Ergo, firms were long what their servants were short — only at a ''far greater scale''. Businesses particularly ''boring'' businesses bobbed ineptly at the mercy of hysteria’s fickle ebb and flow.
Firms were long what their servants were short — only ''at scale''. Businesses, particularly ''boring'' businesses, bobbed ineptly at the mercy of hysteria’s fickle ebb and flow.


A single servant has one unit measure of this risk; her master has, literally, ''thousands''. An employer of turgid multitudes — a good-sized bank, for example — would be locked in constant struggle with those batty tides just to prevent its pedestrian, but vital, operations personnel from being washed away.   
A single servant has one unit measure of this risk; her master has, literally, ''thousands''. One who deploys a turgid multitude — a good-sized bank, for example — would be locked in constant struggle with those batty tides just to prevent its pedestrian, but vital, operations personnel from being washed away.   


The foe upon this reckoning was the swarm of exciting but stupid enterprises propelled at any time by that deluded current of techno-optimism. ''Why'' they believed [[this time is different|things to be different]] this time scarcely mattered — there was always some hare-brained hot take to glom onto — but it often had to do with technology.<ref> Inventions like the internet, web commerce, credit derivatives, [[distributed ledger|distributed ledgers]], [[large language model|large language models]] are typical examples.</ref>  
The foe upon this reckoning was the swarm of exciting but stupid enterprises propelled at any time by that deluded current of techno-optimism. ''Why'' they believed [[this time is different|things to be different]] this time scarcely mattered — there was always some hare-brained hot take to glom onto — but it often had to do with technology.<ref> Inventions like the internet, web commerce, credit derivatives, [[distributed ledger|distributed ledgers]], [[large language model|large language models]] are typical examples.</ref>