This MOOC prepares students that want to analyse trade and investment policies of developing countries and emerging markets. We couch you for the task of giving evidence-based policy. For students interested in policy advise the course brings a sound understanding of what can and what cannot be done with well-established theories and state-of-the-art research. For students interested in research the asset of this course is to learn how to effectively communicate research findings in a policy setting. Upon completion, you will have a good understanding of international trade and investment theories and recent developments in the world economy and their consequence on issues related to developing countries and emerging markets. You will be able to analyse the determinants of trade and investment, to measure the impact of trade and investment and to provide evidence-based policy advice that fits development strategies in emerging markets and developing economies.

This is an introductory course on options and other financial derivatives, and their applications to risk management. We will start with defining derivatives and options, continue with discrete-time, binomial tree models, and then develop continuous-time, Brownian Motion models. A basic introduction to Stochastic, Ito Calculus will be given. The benchmark model will be the Black-Scholes-Merton pricing model, but we will also discuss more general models, such as stochastic volatility models. We will discuss both the Partial Differential Equations approach, and the probabilistic, martingale approach. We will also cover an introduction to modeling of interest rates and fixed income derivatives. I teach the same class at Caltech, as an advanced undergraduate class. This means that the class may be challenging, and demand serious effort. On the other hand, successful completion of the class will provide you with a full understanding of the standard option pricing models, and will enable you to study the subject further on your own, or otherwise. Prerequisites. A basic knowledge of calculus based probability/statistics. Some exposure to stochastic processes and partial differential equations is helpful, but not mandatory. It is strongly recommended you take the prerequisites test available in Unit 0, to see if your mathematical background is strong enough for successfully completing the course. If you get less than 70% on the test, it may be more useful to work further on your math skills before taking this course. Or you can just do a part of the course.

In this course, you will discover the type of questions that econometrics can answer, and the different types of data you might use: time series, cross-sectional, and longitudinal data. During the course you will: – Learn to use the Classical Linear Regression Model (CLRM) as well as the Ordinary Least Squares (OLS) estimator, as you discuss the assumptions needed for the OLS to deliver true regression parameters. – Look at cases with only one independent variable for one dependent variable, before progressing to regression analysis by generalising the bivariate model to multiple regression. – Explore different model-building philosophies, with particular focus on the general-to-specific approach, and learn how to use goodness-of-fit statistics as the measures of “how well your model explains variations in the dependent variable”. Throughout this course, you will see examples to help clarify which kind of relationship is of interest, and how we can interpret it. You will also have the opportunity to apply your learning to estimating the Capital Asset Pricing Model using real data with R. The course is for beginners, so little prior knowledge is required, but you will benefit from an ability to graph two variables in the xy framework, an understanding of basic algebra and taking derivatives. Knowledge of matrix algebra is not a requirement but will also provide you with an advantage. By the end of this course, you will be able to: – Describe the problems that econometrics can help addressing and the type of data that should be used – Explain why some hypotheses are needed for the approach to produce an estimate – Calculate the coefficients of interest in the classical linear regression model – Interpret the estimated parameters and goodness of fit statistics – Estimate single and multiple linear regression models with R.

If you really care about the big questions in the economies and societies of the 21st century, such as distributive justice - namely, inequality of income or wealth, and its correlation with economic growth - this course is meant for you. The knowledge you will gain can truly change your outlook on our world. "Economic Growth and Distributive Justice - the Role of the State" is the first part of a two part course and it includes the following four lectures: (1) What do we need a state for? (2) The Relationship between Efficiency and Distributive Justice (3) Demonstrating the implications of different ethical theories (4) Distributive Justice: measurement and implications Once you've completed the first part, we strongly recommend that you register for the second part entitled: "Economic Growth and Distributive Justice - Maximizing Social Well-being", as well. Taking both parts of the course would enable you to obtain a fuller and more comprehensive knowledge about Economic Growth and Distributed Justice. The course is founded upon the elemental idea that the role of the state is to maximize the well-being - or simply the happiness - of its residents. In 9 fascinating, edifying lessons, using only simple words and decoding professional terminologies that sometimes baffle the intelligent layman, the course expounds many truths – both intuitive and unintuitive. Often using examples from the US and Europe, it does not however focus on policies in any particular region of the world, and is directly applicable to all countries around the globe. The course touches upon the essence of important concepts like efficiency and equity, inequality and poverty, gross domestic product, tax evasion and tax planning; it presents the work of Nobel Laureate James Mirrlees and his followers - promoting a coherent system that integrates tax and government expenditures to maximize social welfare; and illuminates a range of high-profile issues from their economic angle: • Climate change: the atmosphere and oceans as public goods, and how smart (Pigovian) taxation can be used to combat the rapidly increasing threats to our planet; • Technology as the engine of economic growth; • Taxing the rich: How can we mitigate the growing inequality problem? Should we impose a global tax on capital? The curriculum includes interviews with major figures in the fields of law and of economics: Harvard's Elhanan Helpman, Dan Shaviro from NYU and Richard Epstein from the University of Chicago and NYU. After successfully completing this course, you can expect to be able to: • Better understand economic issues presented in the media • Form an informed opinion on the strengths and weaknesses of presented social economic policies • Define and measure inequality and poverty • Define the connection between inequality (income, wealth) and economic growth • Explain the foundations of economic growth • Design a tax and transfer system to maximize the happiness of individuals All these will allow you to better understand the policies being developed around you, and to play a larger, more informed role in their development, as a conscientious citizen. In order to receive academic credit for this course you must successfully pass the academic exam on campus. For information on how to register for the academic exam – https://tauonline.tau.ac.il/registration Additionally, you can apply to certain degrees using the grades you received on the courses. Read more on this here – https://go.tau.ac.il/b.a/mooc-acceptance Teachers interested in teaching this course in their class rooms are invited to explore our Academic High school program here – https://tauonline.tau.ac.il/online-highschool Please note that there is a second part to this course which is a direct extension of this part. We highly recommend to continue to the second part after you finish this one (https://www.coursera.org/learn/economic-growth-part-2/home/welcome). This course will temporarily close for enrollment from March 1st, 2022 to August 31st, 2022. During this time, the course will be closed for new enrolments. All of the course materials will continue to be able available to previously enrolled learners; however, the course staff will not provide support in the Discussion Forums during this period. Best, The Tel Aviv University Team

This is the first of the three courses part of the Globalization, Economic Growth and Stability Specialization. This course will employ a non-technical approach to analyze how governments use policy to influence a country's economy. Upon completing the course you should be able to discuss national debts and deficits, examine fiscal and monetary policy and their appropriateness to the situation of an economy, and anticipate the results of fiscal and monetary policies and structural reform on a country. These concepts will give you the tools to develop your own position in many current economic debates, such as fiscal stimulus vs. austerity, the merits of quantitative easing, the need for higher interest rates or the future growth path of many modern economies.

This course is part of the SDG initiative <http://www.sdginitiative.org/> addressing the UN Sustainable Development Goals, specifically for the following SDGs [1, 8, 10 and 16]. We hope you will join in our efforts to reach the SDG’s in small but measurable and actionable ways, cooperating with Development Done Differently. Expand your impact. You can create a better world. In today’s world, politics and economics are interconnected, but what is the nature of this connectivity? What are the power relationships that shape the world economy today and create new challenges for international institutions facing globalization? What makes some countries wealthier than others? Do we face cultural diversity or fragmentation? Does the type of governance effect economic development and social change or is it the other way around? How do we measure it and how trustworthy is the data? These issues and many more will be examined in this course along with a wide library of sources and a biting criticism.

Welcome to Arctic: Development! In this third in a series of Arctic MOOCs, brought to you by a unique partnership between the University of Alberta and UiT The Arctic University of Norway, we will be exploring regional development in a changing arctic. In this 4-week course, you will investigate the role that natural resources play across the Indigenous, Nordic, Russian and North American Arctics, different strategies for resource management in different regions, and how these affect community planning and development efforts in an increasingly populated part of the world. We'll also see how climate change is dramatically impacting the Arctic, and examine a number of adaptations that different arctic communities are implementing to combat rapid, climate-influenced change. By the end of this course, you will have an idea of the opportunities presented to and difficulties faced by members of northern communities, and gain an understanding of just what regional development looks like in a changing Arctic.

Colossal pyramids, imposing temples, golden treasures, enigmatic hieroglyphs, powerful pharaohs, strange gods, and mysterious mummies are features of Ancient Egyptian culture that have fascinated people over the millennia. The Bible refers to its gods, rulers, and pyramids. Neighboring cultures in the ancient Near East and Mediterranean wrote about its god-like kings and its seemingly endless supply of gold. The Greeks and Romans describe aspects of Egypt's culture and history. As the 19th century began, the Napoleonic campaign in Egypt highlighted the wonders of this ancient land, and public interest soared. Not long after, Champollion deciphered Egypt's hieroglyphs and paved the way for other scholars to reveal that Egyptian texts dealt with medicine, dentistry, veterinary practices, mathematics, literature, and accounting, and many other topics. Then, early in the 20th century, Howard Carter discovered the tomb of Tutankhamun and its fabulous contents. Exhibitions of this treasure a few decades later resulted in the world's first blockbuster, and its revival in the 21st century has kept interest alive. Join Dr. David Silverman, Professor of Egyptology at Penn, Curator in Charge of the Egyptian Section of the Penn Museum, and curator of the Tutankhamun exhibitions on a guided tour of the mysteries and wonders of this ancient land. He has developed this online course and set it in the galleries of the world famous Penn Museum. He uses many original Egyptian artifacts to illustrate his lectures as he guides students as they make their own discovery of this fascinating culture. This course focused on five key areas in the study of Ancient Egypt: 1) Principles of Egyptian Art, 2) The Basics of the Language of Ancient Egypt: Hieroglyphs, 3) Egyptian Magic, 4) Akhenaten, Tutankhamun, and the Religion of the Aten, and 5) The Burial of Tutankhamun and the Search for his Tomb. This course is intended to accompany, and ideally to follow, Introduction to Ancient Egypt (also available on Coursera).

This opening module of the Power of Markets course covers the basic assumptions about market participants made by economists, the concept of opportunity cost, and the key determinants of supply and demand. We will then learn how to use the supply-demand framework to explain and predict market outcomes and to show how government policies affect those market outcomes. We will look at how quantity demanded and supplied respond to their key determinants in quantitative (elasticity) as well as qualitative terms. The last two weeks of the first module will investigate consumer behavior more closely and show how consumer choices are driven by the interplay of preferences and budget constraints. We will employ the consumer choice framework to examine investor choice as well as policies such as ObamaCare and school choice. Finally, we will also address the concept of how to distribute a given amount of goods across a society’s consumers in the most efficient manner.

This course focuses on computational methods in option and interest rate, product’s pricing and model calibration. The first module will introduce different types of options in the market, followed by an in-depth discussion into numerical techniques helpful in pricing them, e.g. Fourier Transform (FT) and Fast Fourier Transform (FFT) methods. We will explain models like Black-Merton-Scholes (BMS), Heston, Variance Gamma (VG), which are central to understanding stock price evolution, through case studies and Python codes. The second module introduces concepts like bid-ask prices, implied volatility, and option surfaces, followed by a demonstration of model calibration for fitting market option prices using optimization routines like brute-force search, Nelder-Mead algorithm, and BFGS algorithm. The third module introduces interest rates and the financial products built around these instruments. We will bring in fundamental concepts like forward rates, spot rates, swap rates, and the term structure of interest rates, extending it further for creating, calibrating, and analyzing LIBOR and swap curves. We will also demonstrate the pricing of bonds, swaps, and other interest rate products through Python codes. The final module focuses on real-world model calibration techniques used by practitioners to estimate interest rate processes and derive prices of different financial products. We will illustrate several regression techniques used for interest rate model calibration and end the module by covering the Vasicek and CIR model for pricing fixed income instruments.