223 karma · joined October 7, 2015
The generally accepted theory is that there has been a worldwide demographic slowdown combined with a large number of countries accumulating huge current account surpluses, leading to "the world being awash in savings." This oversupply of capital causes the natural rate of interest to drop, and that is the rate that the Fed needs to follow (it really doesn't so much decide on a proper rate as much as it estimates it mathematically), as it will cause stagnating growth or deflation if too high compared to the natural rate (!!!!!), but will cause inflation if it's actually "too low." So there's no evidence ZIRP has been "too low," in fact all the evidence points to the fact that interest rates actually haven't been low enough.
Quite frankly, you have zero predictive ability to outperform the market, particularly over an extended timespan or multiple credit cycles.
Furthermore, even if you were to "average out" / index your portfolio of P2P loans, your transaction costs would be way higher than simply going through a financial institution that streamlines that process for you so as to minimize transaction costs.
Aside from legal reasons, this is one reason stocks and other financial instruments aren't sold P2P. Considering transaction costs are probably the biggest controllable variable affecting your portfolio's returns, particularly over time, I just can't see how this makes the cost of borrowing go down for the system as a whole.
So the problem is obviously there, and believe it or not, even among the least tech-savvy everybody is aware of this problem, how it's done, and current methods to minimize it. It's very important. For example, look at Vitol, the biggest energy trading house in the world (followed by Glencore and Trafigura, both split from the same company). This doesn't include metals or ags. Vitol has $300 billion or so in revenue per year. Strictly looking at their trading business, and considering minimum wholesale volumes around 25,000 barrel lots (barge sizes in the Gulf Coast), so wholesale crude and products trades in blocks worth between $1.5 and $2 million at today's prices. While this is an extremely simplified, ballpark analysis, assuming their trading business has a 2% net margin, they're selling $300 billion that they bought for $294 billion. Roughly, that's about 300,000 transactions for separate, physical movements of petroleum and products. Saving even a few days on payment terms across the board would mean they have to borrow money for a few less days, which would add up to millions of dollars in cash savings that begin to accrue immediately and continue to daily over time.
So, again, the problem is there, and various groups have attempted to build software (which actually did work, technically). The big problem is that implementation of these tools has been tried in areas such as Letters of Credit (negotiation between counterparties and banks for each one if doing transactional trade finance) and the rest of trade finance. The problem isn't the tools, it's that the companies kind of like to play this game, because if you see yourself as on the more sophisticated end of the market then this benefits you, and this system is tried and true, whereas the new system could be prone to errors or other unknown unknowns, where they don't know how to protect themselves.
edit: By the way, much of the above (especially as it concerns the individual specifications of each order, either physical variables in the commodities markets or financial variables in the bond and derivatives markets) is exactly the reason implementation of more streamlined alternatives for clearing and settlement have been so slow. It's not that the technology for actually doing it isn't there, it's that the bottlenecks leading up to that are still there. So if you have a good way for traders to automatically decide which fees and costs apply when and to who, please do tell, but then you've effectively automated the traders, as much of what they do is negotiating those terms.
lol k
Learning wise, trying to completely re-learn mathematics, starting with books like the Mathematicians Delight and beginning with the most basic arithmetic, hopefully up through diffy q's, linear algebra, and intermediate stat. If anybody has any good tips on completely teaching yourself math from start to finish, please send them my way!
You really can't recoup the money. $1,000 invested at 23 is worth $37,165 at 75, assuming 7.2% historical equity risk premium. $1,000 invested at 30 is worth $22,844 at 75 with the same 7.2% growth.
Your comment seems to imply that people can strike it rich if they just pull the level enough times, but your comment is actually false for the majority of people that read your post.
Front-running is profitable against traditional orders entered by humans. But with spoofers in the mix, the picture looks quite different: When the front-running HFT algorithm jumps ahead of a spoof order, the front-runner gets fooled and loses money. The HFT’s front-running algorithm can't easily distinguish between legitimate orders and spoofs. Suddenly the front-runner faces real market risk and makes the rational choice to do less front-running. In short, spoofing poses the risk of making front-running unprofitable. Because spoofing is only profitable if front-running exists, allowing both would ensure that neither is widespread.
http://www.bloombergview.com/articles/2015-01-23/high-freque...