Now there's a perception out there about probability and statistics that, these are somewhat dry disciplines detached from reality somewhat abstract. Well, I would like to dissipate that myth by really bringing the subject to life. So here we are going to consider uncertainty in the news. Now, a useful exercise for you is to do any internet search on any new site of your choice and just search for the term uncertainty. Now, I'm willing to bet there will be many articles which are generated dealing with the aspects of uncertainty. Quite often, of course it will depend on your choice of news site but it's likely that these articles will be related to the economic or political sphere. Indeed, in recent times, we've seen some black swan events. So black swan events are low probability but high impact events. So we saw in fairly recent history, two black swan events in quite quick succession. June 2016, United Kingdom held a referendum to decide whether or not to leave the European Union. There was an expectation that the remain side would win the vote however, the leave side won by a small margin of about four percentage points. This was an expected. And that single event, has unleashed a whole wave of uncertainty. Fast forward at five months to November 2016, the U.S. presidential election between Hillary Clinton and Donald Trump. An expectation of a Clinton victory but Donald Trump did prevail. So yet again, a low probability but high impact event. I say, low probability events. If one actually took a look at the prediction markets ahead of both the referendum and the presidential election, the prediction markets were pricing in an implied probability of about 75% for a remain victory in the Brexit referendum. Similarly, for a Clinton victory in the presidential election. And given the binary nature of these votes, it was either going to be leave or remain and Clinton and Trump were the only viable presidential candidates in that election. That clearly meant, 25% implied probabilities for a leave vote or a Trump presidency. Now, is a 25% chance event really that unlikely? Well, imagine you toss a fair coin, cool. Say you have two outcomes heads and tails equally likely if it's a fair coin. So getting a 25% probability event, really equates to tossing a fair coin twice and let's say getting two heads in succession. Now, if you think of it like that, you get a coin out of your pocket now and toss it, some of you will get two heads in succession and you will perhaps not be that surprised by that result. Well, that really equates to the same likelihood that the prediction markets had of a Trump and a leave victories in those respective votes. So uncertainty. Well indeed, the financial markets, indeed the political establishment did not expect these events to occur but they have. So I would encourage you to have a look at how the financial markets responded to this new information. Indeed, we talk about uncertainty in the news. Well, it's called news, it's not called olds because we're looking at new information rather than old information being delivered in any news reports. So when we look at the financial markets, they could be the stock markets, they could be the foreign exchange markets, what are the markets actually doing when you see prices moving around? Well, I'd like you to think of this as the reaction of markets to new information. Indeed, in our first video when we looked at the Monte Hall problem, there, you were looking at revising your beliefs in light of new information. Specifically, my opening of a particular door allowed you to revise your probabilities of where the sports car was. And indeed in a similar light, the financial markets update their beliefs about the future economic prospects, say of a particular country in light of real world events. Be they political in nature, or economic in nature, geopolitical in nature. Indeed, look at how the oil price fluctuates depending on what's going on let's say in the Middle East. That's as tensions arise and subside between various oil producing nations. We see the oil price react as a result. So in periods of great uncertainty, one can anticipate there being much more volatility in the financial markets. Now, in due course in this move, we're going to see some useful descriptive statistics. Things like means, variances, standard deviations. And we once introduced a useful exercise for you to consider how the average level of various stock markets, or currencies have changed in light of major events and also how the volatility of these prices have also reacted. Now, of course, I talk about economic spheres and political spheres, but are these really mutually exclusive? Should we think of economics and politics as silos with no interconnection at all? Well, I think that's a rather simplistic and naive view of the world. Clearly, political events will drive economic events as well. The economic policy of a particular government, or a president, will perhaps affect the economic path and trajectory of a particular country. Indeed, in those news articles, you may come across some related to central banks and their decisions about monetary policy. Should they increase interest rates, or lower them, or leave them unchanged? Of course, they're having to make a decision today about which interest rates to have and hence whether to have maybe a tighter or looser monetary policy without the certainty of knowing what the future direction of the particular economy might be. Interestingly, it's been said that an interest rate change will take about 18 months to have a full impact on the economy. To fully work its way through to the main street. So if you think about that, having to base a decision today on interest rates, you've got to anticipate what the world is going to be like in 18 months time. Now clearly that's a very difficult call to make. So the monetary policy decision makers in a particular country, will have to weigh up all types of evidence. Evidence about consumer confidence, business confidence, expectations of the general public about inflation, how this is going to impact wage negotiations if there was perhaps some collective bargaining by unions, and many other factors besides. So you can perhaps start to appreciate the complex world in which we live, yet for things like monetary policy setting, indeed fiscal policy setting, the tax and spend decisions of a government, that's going to be decisions taken in the present but with a far reaching consequences into the future. If one considers for example, the national debt levels of a particular country. And then, the market's reaction to whether these debt levels are sustainable or not. You've only got to look at the Eurozone post, the 2008 economic and financial crisis, or the debt levels of particular countries sustainable or not? I mean, now you'll hear a lot in the media about Brexit. Prior to that referendum vote, there was a lot of talk in the media about Grexit. Would Greece be ejected from the Eurozone? Well, some still some major problems within the Eurozone that perhaps have come- dropped out of the main headlines, but many of those problems are still at present. So there's huge uncertainties in the macro economy and of course, that's a heavily tied in with political decision making as well. So uncertainty in the news. Going forward, I'm a news junkie and I really implore you to be abreast and up to speed with our current affairs. And whenever you come across articles, look for that word uncertainty and think about things. What are the key variables which are deemed to be uncertain in those particular articles? And of course, the uncertainty about those variables are likely to have no common impacts on other variables as well. So probability and statistics could be a very dry discipline indeed. However, uncertainty is a real world phenomenon. And decisions taken by politicians around the world, are clearly going to have consequences for the everyday lives of individuals. And of course, politicians are having to take decisions under huge amounts of uncertainty. So this does really bring home the importance of probability and statistics and hence a strong understanding of probability and statistics to really appreciate the concept of decision making under uncertainty.
