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Travelalot, Vic, Qld, Cali, Australia
Like making old things new again. Enjoy working on a far away big tree/cow farm vs inner city digital stuff and with the NBN that's changing, creative lifestyles and digital content businesses. I have 4 degrees in psychology, media, literature, librarianship, management and business including a business PhD that explored how tech created opportunities in the music sector (as a lead indicator to other content sectors). Am fascinated by how people use digital stuff and emerging uses. Slow living, reject unreal or fast lifestyles, I like to know all about what I eat. Maintaining a professional hatred and boycott of Farcebook. Confused about whether to write in 1st or 3rd person on this site. Love animals and have always had them around - cows, horses, chooks, cats, dogs, sheep, goats, camels, budgies. Met lots of snakes too. Enjoy aesthetic immersion and favourite era is 1940-1959. Music obsessive not impartial to late nights watching bands. blah blah blah

Wednesday, January 14, 2009

Academia: keeping the bustards honest?

With the demise of the Democrats in Australia, and the landscape of changes in journalism, I'm pondering a proposal by Marty Lobel and Joseph Goldstein of the Mayer Brown law firm in New York. They propose a new way to prevent future financial meltdowns and suggest a team of academic experts could survey the financial field and warn government of impending problems before they happen.

It can be taken as a given that the best and brightest are in academia (myself excluded), and perhaps that academia attracts experts who are more prepared to take the high moral ground, or are what Lobel-Goldstein charmingly refer to as 'idealistic'. Financial reward is not necessarily their primary career motivation. In my initial reaction, at issue here is the independence of academia.

Academia would probably be more 'independent' than say a credit rating agency (who are paid by the corporates for their reviews, and the financial 'meltdown' possibly exposed their inadequacies in the prediction of financial distress) ; or a private audit/insolvency firm (who always approach such projects as "which of the interested parties do we have relations with and need to (a) get onside with and/or (b) get further work from). The government or journalists often get it right, but are also operating in difficult circumstances. The use of academia could be a new prong in the attack on corporate fraud, financial distress, seniors losing their pensions and workers losing their jobs.

Such a role doesn't belong in the private sector. In a former life with a corporate I was tasked with setting up a model that could identify listed equities that were 'vulnerable' (a polite way of saying 'high risk' or 'near financial distress'). This model used variants from both media, company reports, credit reports and 'word of mouth' - basically anything. The aim was to alert the company the model identified that if someone like me (ie not too bright) could spot it, so could financial analysts. And then my employer would get work going into the company (on behalf of creditors or the company) and sussing it all out. But then I had to move onto other projects and the model became a maintenance and monitoring function. But at the time I thought it would be far better if such a role were handled by academics who weren't interested in getting $$ work out of it and would have more time (and mathematical nouse) to develop it. Academics could also get their thrills working through the complex layers of financials and press that 'vulnerable' companies throw up to mask their true positions.

But on the other hand, academia in Australia has been privatised to the point that the work of academics is sometimes sponsored by the corporate world.... and hence the potential opening for some risk to the independence of academics.

But I still reckon they're the best of a bad bunch and definitely believe there is a role for academics in the monitoring of corporate risk. Only issue then is, if they identify it, what happens next? Would it go to ASIC? If so, should such a 'financial investigations cooperative research centre' of academics by federally funded via ASIC for such a proposal?

Note: I found the Lobel-Goldstein idea while looking at another idea on the excellent blog of John Mecklin. That idea concerned data mining by journalists - and data mining could be used by mathematician academics, actuaries, accountants, economics etc to identify financial distress and risk.



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