Conversation
Notices
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Poll: The Australian Federal Election will be held when? http://poll.fm/210rk (blog post to follow)
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@zebra it begins: http://mulestable.net/notice/14400
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@sean Where's the option for "there will be no election, Julia Gillard will declare herself president for life and impose union law"? The wackier wingnuts talk as if that was a serious possibility.
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@senexx excellent!
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@sean Let me put it this way: I want to know if an investor today can expect a greater, equal or lesser return per $ than an investor say, 30 years ago. It doesn't need to be a precise, industry value: it's better if it's a general figure.
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@magpie assessing forward-looking returns is tricky. You can look at (recent) historical returns, but they'll be affected by the GFC. I don't think there's any consensus on a structural change.
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@sean That's a good point. Think about it this way: is there a trend in expected values, even if standard deviations are increasing?
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@sean Although, on second thoughts, maybe that could be an answer: if there is no consensus on a structural change, then expected values (of ROI) remain pretty much the same.
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@sean Yet another way to think of it: if r(t) = r(t-1) + K + u(t) where r is the return and u is normally distributed, is K significantly different from 0?
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@magpie perhaps even simpler: r(t) = K + u(t). If you have a big negative return, you'd expect the next period to go back to usual returns rather than another negative return.
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@sean Yeah, that's a possibility. Would that be what in your experience describes historical returns to investment? Or is it more in line with what investors' expectations (which may be right or wrong)?
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@magpie it would fit with my experience: large positives or negatives are unusual and are not often repeated.
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@sean One last question: would that be limited to financial markets or is it more general? We have seen that often (not always) financial crises are paired to recessions; would the reciprocal be true?
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@sean u is normally distributed, with mu =s 0 and sigma constant, clearly.
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