Seventh, US and global equity markets are frothy. Price-to-earnings ratios in the US are 50% above the historic average, private-equity valuations have become excessive, and government bonds are too expensive, given their low yields and negative term premia. And high-yield credit is also becoming increasingly expensive now that the US corporate-leverage rate has reached historic highs.
If you’ve gone with a “set it and forget it” strategy — like investing in a target-date retirement fund, as many 401(k) plans allow you to do, or using a robo-advisor — diversification already is built in. In this case, it’s best to sit tight and trust that your portfolio is ready to ride out the storm. You’ll still experience some painful short-term jolts, but this will help you avoid losses from which your portfolio can’t recover.
Stock market crashes are social phenomena where external economic events combine with crowd behavior and psychology in a positive feedback loop where selling by some market participants drives more market participants to sell. Generally speaking, crashes usually occur under the following conditions: a prolonged period of rising stock prices and excessive economic optimism, a market where P/E ratios (Price-Earning ratio) exceed long-term averages, and extensive use of margin debt and leverage by market participants. Other aspects such as wars, large-corporation hacks, changes in federal laws and regulations, and natural disasters of highly economically productive areas may also influence a significant decline in the NYSE value of a wide range of stocks. All such stock drops may result in the rise of stock prices for corporations competing against the affected corporations.
None of the research however, seems to be applied to human expectations, human happiness, and human panic. Human’s don’t pay attention to historical trends and data, nor what AI systems advise. They generally pay attention to now just like herding animals before a stampede. The signal that sets the herd off, could be one or two animals stumbling over a pothole.
In Australia, ABS data confirmed that home prices fell again in the June quarter, skilled vacancies rose slightly and population growth remained strong in the March quarter. In terms of house prices, our assessment remains that the combination of tighter bank lending standards, rising supply, poor affordability and falling capital growth expectations point to more falls ahead, with Melbourne and Sydney likely to see top to bottom home price falls of around 15% out to 2020.
The critical point where bubbles end happens as investors begin to think that the rally is over. It is when this opinion travels deep into the system and becomes generalized that the system ends up in a crash. The paradox here is that a crash is often (and mistakenly) characterized as “market chaos.” In fact, it is the opposite: a crash reflects a highly ordered market, when everyone does the same thing (i.e. sell). A truly “chaotic” market is one where everyone is doing something different, interactions offset each other and price volatility remains low.
This book has lots of good statistical information to back up its premises...which seem to boil down to...Buy a home within your means (and he does define how to find that out, which is a good thing if you can't figure it out on your own)...Anticipate that the home market could go down as interest rates rise making your home harder to sell in a pinch (to his credit, he tells you how to avoid that too)...and a few other common sense rules of buying that could be applied to many things. If a person is going to spend 6 figures on anything, you would think that they would take the time to learn what they are doing, but it is obvious to the author and to many other people watchers in the world that too many people just don't put effort into watching where they put their money. So, if you are a person who carefully spends your money without rushing into any purchase, you probably have enough sense to not have to buy this book; and if you are person who is just the opposite, you probably aren't too concerned even now about learning anything about your home purchase, so you aren't even reading this review. Last note: if you were going to buy properties to use for investment purposes, this book could be of assistance. Hope this helps.
The Roaring Twenties, the decade that followed World War I that led to the crash, was a time of wealth and excess. Building on post-war optimism, rural Americans migrated to the cities in vast numbers throughout the decade with the hopes of finding a more prosperous life in the ever-growing expansion of America's industrial sector. While the American cities prospered, the overproduction of agricultural produce created widespread financial despair among American farmers throughout the decade. This would later be blamed as one of the key factors that led to the 1929 stock market crash.
The resultant rise of mass unemployment is seen as a result of the crash, although the crash is by no means the sole event that contributed to the depression. The Wall Street Crash is usually seen as having the greatest impact on the events that followed and therefore is widely regarded as signaling the downward economic slide that initiated the Great Depression. True or not, the consequences were dire for almost everybody. Most academic experts agree on one aspect of the crash: It wiped out billions of dollars of wealth in one day, and this immediately depressed consumer buying.
According to Lee, there are two key factors that will soon bring more institutional interest to the markets. First, it will be the upcoming launch of the digital assets platform Bakkt by the operator of major global exchange New York Stock Exchange (NYSE), Intercontinental Exchange (ICE). Announced in August this year, Bakkt recently confirmed a “target” launch date for Jan. 24, 2019.
"They're going to stop putting money into the stock market by that same function, and you're getting into the end of the year," Ader said. Pension funds for the S&P 1500 are now funded at an average of 91 percent for the first time in years. As many funds are legacy funds, strategists expect them to reduce risk because they want to secure their funding levels.
September is also when the Fed is next expected to raise interest rates, and its post-meeting statement Sept. 26 and comments from Fed Chairman Jerome Powell could signal how strongly the Fed views its forecast for a December hike. David Ader, chief macro strategist at Informa Financial Intelligence, said Powell was not as dovish at Jackson Hole last week as some may have thought.
Likewise, stock prices have defeated all forecasting efforts, and may well belong to the same set of basic unpredictability. While occasionally somebody may seem to be on the right side of an investment ahead of a big move, this is a far cry from actually forecasting such move with any kind of precision in terms of timing and size. For each “hunch” that is successful, a myriad others fail. Despite anecdotes, there seems to be no clear evidence that investors who get a big move “right” are anything but lucky.
One mitigation strategy has been the introduction of trading curbs, also known as "circuit breakers", which are a trading halt in the cash market and the corresponding trading halt in the derivative markets triggered by the halt in the cash market, all of which are affected based on substantial movements in a broad market indicator. Since their inception, circuit breakers have been modified to prevent both speculative gains and dramatic losses within a small time frame.
Any of the measurements people quote—any of the stock market indexes which go up and down—are just measurements. They're averages. They're big bundles of numbers all mixed together. In all truth, they only reflect a snapshot of a point in time. They're numbers that stocks happened to end on when trading stopped for the day (or, at least, paused until after hours trading took over).
The crucial point of their paper was that sandpile avalanches could not be predicted, and not because of randomness (there was no random component in their model) or because the authors could not figure out how to come up with equations to describe it. Rather, they found it impossible in a fundamental sense to set up equations that would describe the sandpile model analytically, so there was no way to predict what the sandpile would do. The only way to observe its behavior was to set up the model in a computer and let it run.
Thanks for writing the article. It makes some sense. but how about if the amounts are very different? I am currently considering selling my home which will now sell for $1.7 mil. when I purchased 6 years ago it was just under $600k. a 20% drop would be a gain of $340k which would be nice. But the main reason I would consider selling is to re purpose the tax free gains and invest in a range of different investments. I never intended for my house to be an investment tool, but as it has given me such large gains it seems foolish not to take them. In the perhaps 5% to 10% chance the housing market does continue to soar upwards then I guess I’ll never own again! but I will still have considerable assets that will secure me for life.
Market crashes are far more common in our imagination than in reality. This is because they are vivid and scary events. Given our evolution, we are wired to worry about these sorts of vivid events. While, this may have been useful in helping us avoid getting eaten by tigers, it's less useful for rational, disciplined stock market investing. By thinking this topic through now, hopefully you're a little better prepared when the next crash hits.