# 20 million INDICATORS FROM 196 COUNTRIES

Animation: Human Population Growth Over All of History Imagine that for every million people on Earth, there was a single dot on a map. In total, that would be about 7,600 dots – representing today’s global population of 7.6 billion. But, what if we went back in time, and watched those dots accumulate over human history? When and where do the first dots appear, and when does population growth ramp up to get to the billions of people that are alive today? The History of Population Growth Today’s animation comes from the American Museum of Natural History, and it shows over 200,000 years of population growth and the major events along the way. If you consider yourself on the more impatient side of things, we suggest starting at 1:50 which will zoom you to 400 AD – the time of India’s Golden Age. It took 200,000 years of human history to get to one billion people – and just 200 years to reach seven billion. Key Population Moments Agriculture The impact of farming cannot be emphasized enough. East vs. Bubonic Plague Post-Industrial Revolution Thank you!

Bivariate Sampling Statistics This site is a part of the JavaScript E-labs learning objects for decision making. Other JavaScript in this series are categorized under different areas of applications in the MENU section on this page. Enter (by replacing) your up-to-42 two samples paired-data sets where measurements are made jointly on two random variables (X, Y) per subject, and then click the Calculate button. Blank boxes are not included in the calculations but zeros are. In entering your data to move from cell to cell in the data-matrix use the Tab key not arrow or enter keys. Risk Assessment Process: Clearly, different subjective probability models are plausible they can give quite different answers. Cov(X, Y) / Var (X) is called the beta of the random variable X with respect to Y. Given you wish to invest \$12,000 over one period (with the same length of time), how do you invest for the optimal strategy? Using the JavaScript we obtain: Beta (Currencies) = -0.4578313, and Beta (Gold) = -1.9

Reports JW Player Learn more about this provider jwplayerLocalIdUsed to determine the optimal video quality based on the visitor's device and network settings. Expiry: PersistentType: HTML LinkedIn langSet by LinkedIn when a web page contains an embedded "Follow us" panel. Expiry: SessionType: HTTP li_alertsUsed to determine when and where certain pop-ups on the website should be presented for the user and remember whether the user has closed these, to keep them from showing multiple times. Expiry: 1 yearType: HTTP Sli.do app.lastEventUuidCaptures state of last user event on the app too ensure user flow states are maintained app.redux.localFeatureFlagsSets locale as per user preference on the browser app.redux.rememberedUserMaintains user state while using Sli.do app on the website app.redux.uiApp.isLightnessAutomaticBased on user device, loads light or complete app automatically app.redux.uiApp.lightnessBased on user device, loads light or complete app automatically Spotify Tableau YouTube resourcewatch.org

These charts show how migration is changing our cities In 2015, over a billion people migrated: 244 million went abroad and 763 million moved within their home country. Some boarded planes to start a new job in another country. Some risked their lives in overcrowded boats, fleeing war or famine. And others left the countryside in search of jobs and a better quality of life. What the vast majority have in common is that they ended up moving to a city. A new report by the World Economic Forum looks at these patterns of migration and how they affect the world’s cities. Where are migrants moving to? The numbers of migrants are growing. Image: World Economic Forum Nearly one in five (19%) of the world's total migrants went to live in the United States. However, when you look at the number of migrants as a proportion of the population, countries in the Middle East far outstrip any other. Migrants tend to head to global cities. Of the nearly 7 million foreign-born people living in Canada, almost half (46%) live in Toronto. Emerging centres of growth

Matter of Stats Is Australia Full? – News, Research and Analysis – The Conversation – page 1 Tom Wilson Principal Research Fellow, Charles Darwin University Liz Allen Demographer, ANU Centre for Social Research and Methods, Australian National University Bill Bellotti Professor and Director Food Systems Program, Global Change Institute, The University of Queensland Shanthi Robertson Senior Research Fellow, Institute for Culture and Society, Western Sydney University Paul Sutton Professor, Department of Geography and the Environment, University of Denver Emily Longstaff PhD Candidate (Sociology), Australian National University Glen Searle Glen Searle is a Friend of The Conversation. Honorary Associate Professor in Planning, University of Queensland and, University of Sydney James Ward Lecturer in Water & Environmental Engineering, University of South Australia Brendan F.D.

Estimating Option-Implied Probability Distributions for Asset Pricing After interpolation in (K, σ)-space, we obtain enough data points to estimate the implied strike price density functions at each expiry time. To do this we use a computational finance principle developed by Breeden and Litzenberger [4], which states that the probability density function f(K) of the value of an asset at time T is proportional to the second partial derivative of the asset call price C = C(K). We first transform the data to the original domain ((K, C)-space) for each expiry time using the blsprice function: T0 = unique(D.T); S = D.S(1); rf = D.rf(1); for k = 1:numel(T0) newC(:, k) = blsprice(S, fineK, rf, T0(k), sigmaCallSABR(:, k)); end Here, fineK is a vector defining the range of strike prices used for the interpolation and sigmaCallSABR is the matrix created using SABR interpolation in which the columns contain the interpolated volatility smiles for each expiry time We then compute the numerical partial derivatives with respect to the strike price.

Infographic for "Economic Systems: How Do Countries Organize Economic Activity?" - Federal Reserve Bank of Atlanta Skip to content Classroom Economist Infographic for "Economic Systems: How Do Countries Organize Economic Activity?" Below is the full version of the Classroom Economist infographic for "Economic Systems: How Do Countries Organize Economic Activity?" You can also download this infographic as a PDF for use in your lessons and activities. Download infographic OCC: The Options Clearing Corporation Economics 101: Hedge Fund Investor Ray Dalio Explains How the Economy Works in a 30-Minute Animated Video Want to know how the economy works? It “works like a simple machine," according to Ray Dalio, who explains its mechanisms in the 30-minute video above. The presentation is “simple but not simplistic,” says the site Economic Principles, a research arm of Dalio’s company Bridgewater Associates. All that’s well and good, but can we really understand such a volatile beast as “the economy”—an abstraction that sometimes seems like a cruelly rigged game and sometimes like a not-particularly-benevolent (to most people) deity—in only half an hour? In that piece, the “voracious learner who studies narrative and communication… turns an enormously complex subject into a simple, compelling narrative.” Marx’s Das Kapital spans three volumes, though he only lived to publish the first one, itself a monster of a read. Related Content: Free Online Economics Courses David Harvey’s Course on Marx’s Capital: Volumes 1 & 2 Now Available Free Online Piketty’s Capital in a Nutshell Free Online Economics Courses

CBOE | Chicago Board Options Exchange

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