Monday, October 29, 2018

Maryna Pashchynska


Name: Maryna Pashchynska

Nationality: Ukrainian

Previous education: BS Economics, National University Kyiv-Mohyla Academy, Ukraine

What did you get from MA Quantitative Economics? 
It taught me how to approach data analysis and to interpret the economic meaning of the results.

Exchange, Research and Internship Experience: Erasmus exchange study program for 2 semesters at the University of Konstanz, Germany and Internship at Ministry of Economics and Communications of Estonia.

Current position: Business Analyst, Finnair

Vladyslav Soloviov


Name: Vladyslav Soloviov

Nationality: Ukrainian

Previous education: Bachelor of International Economics, Taras Shevchenko National University of Kyiv, Ukraine

What did you get from MA Quantitative Economics? 
Quantitative Economics curriculum provides a variety of intensive and math-heavy courses in different economic areas, complete with an excellent supervision of students' progress. The knowledge and practical skills obtained during the study helped me enroll into a PhD program and aided in my career path.

Exchange, Research and Internship Experience:

Current position: PhD, University of Tartu, Estonia

Mykola Herasymovych


Name: Mykola Herasymovych

Nationality: Ukrainian

Previous education: Economics, National University of Kyiv-Mohyla Academy, Ukraine

What did you get from MA Quantitative Economics?
It gave me good educational background and opportunities get professional and practical experience by going on internship, seminars and conferences and exchange. I could later use those to find a job and excel in my position.

Exchange, Research and Internship Experience: Exchange to the College of Charleston and participated in a couple of seminars / conferences.

Current position: Principal Data Scientist, Creditstar Group AS

Tanel Rebane

Name: Tanel Rebane

Nationality: Estonian

Previous education: Economics and Business Administration, University of Tartu, Estonia

What did you get from MA Quantitative Economics?

QE program has had immense effect on my career and education prospects as my current job as Data Scientist was from a recommendation to search applicants from QE program. In addition, there has been multiple job offers to well established companies in Estonia through people, who know more about the QE program. Also, from QE I got strong educational background that will help me a lot if I choose to continue with my studies with PhD.

The whole curriculum is very well constructed and has teachers that are very skilled in their field. In addition, the program manager Jaan Masso, will always try to hear the suggestions and feedback from the students and make the curriculum even better (the curriculum is already very good) based on that. Therefore, you will mostly study the classes you really think will help you later in your work-life or educational journey.

Exchange, Research and Internship Experience: Swedbank Business Intelligence Academy program. Program to create new Business Analysts/Data Stewards and give them more practical view of the data and how it is managed in Swedbank.

Current position: Data Scientist, Initiative

Kateryna Volkovska




Name: Kateryna Volkovska

Nationality: Ukrainian

Previous education: Mathematics, Taras Shevchenko National University of Kyiv, Ukraine

What did you get from MA Quantitative Economics?
It gave me valuable international experience, abilities and competences to solve applied economic problems as well as team-working skills. I am proud to be a graduate of the best Estonian university and have specialty that is very valuable on the market. I am grateful to university teachers for supporting me during studies, always answering questions and eagerly sharing knowledge.

Exchange, Research and Internship Experience: Erasmus exchange in Kiel University, Germany (1 year) and internship at Central Bank of Estonia, Economics and Research department.

Current position: Portfolio Analyst, Luminor Bank

Future Economy – Economy of Sharing

Author: Vsevolod Klivak

Economic is developing. Our contemporary life is pretty hectic due to enormous information, which surrounds us. However, these modern vibes are key to understanding how businesses shall work to be prosperous. Airbnb, Uber, Amazon, Ali-Baba, they are only platforms, which as the matter of fact don’t produce a thing, but still making decent money. Sharing economy is an umbrella term with a range of meanings, often used to describe economic activity involving online transactions. In this article, I will try to shape the term “sharing economy”, see what perceptions are popular now and what make sense.

 There are few approaches on how to describe it. [1]Andur Sundararajan in his book “The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism” two years ago described the phenomenon of present-day approach. He’s an award-winning scholar who writes with a clarity that masks the complexity of his subject, explains how organizations needed to meet consumer demand are driving today’s economy and explores how these developments spell the end of employment as we know. Basically, the author defines in his book how your business or career shall alter to be prosperous in the modern circumstances. He mentions platform businesses as the most thriving in the modern state of the art. I may describe his point as the most neutral and precise, however, his book may give only a glance of what future might bring.

This success of matchmaking businesses is more elaborately described in the book “Matchmakers: The New Economics of Multisided Platforms”. In "Matchmakers," David Evans and Richard Schmalensee[2]  explain how matchmakers work best in practice, why they do what they do, and how entrepreneurs can improve their chances for success. Whether you're an entrepreneur, an investor, a consumer, or an executive, your future will involve more and more multisided platforms, and "Matchmakers" rich with stories from platform winners and losers is the one book you'll need in order to navigate this appealing but confusing world. They specify crucial points for prosperous matchmaking platform, like the crucial number of participants on both sides, which is vital for the fruitful platform. Therefore the most challenging part of this venture is to make the right marketing steps to gain enough “population”. It is also worth mentioning that proper monetization of the matchmaking services. They should be not hectic and irritating but fetch shiny coinage.  However, the main issue is that if you follow steps of success, which he has described. It won’t give you 100% confidence that your platform will strive and probably it will be much beneficial to analyse why some start-ups didn’t a success and describe it more precise than a luck.

Jeremy Rifkin set it in a bit another perspective. He called it [3]“Third Industrial Revolution”, which brings us[4] “Zero marginal cost economy”.   He points out issues, which new approach might solve. First of all temporary capitalism is really wasteful and these sharing way may resolve it. Transportation adviser Paul Barter has confirmed longstanding claims by urban planners that, on average, cars are parked 95% of the time [5]. What is vital for all quantitative researchers is the Internet of Things. The project of that kind has already been started to implement in Europe (Digital Europe) and China (China Internet Plus). More precise measurement is key to the rationalisation of resources using an increase in productivity.  Thus building new infrastructure and “real enter” of the internet era is highly important for the sharing economy. This principle continues in the zero marginal cost [4] theory. In standard business, every new product will bring a pretty significant increase in variable cost. It’s not applicable however in modern approaches. For example, if you are a blogger it doesn’t really matter how many videos you will make if the average cost of each video is the same. The economy of next decades won’t be about possessions and basic property, but about shared utility and goods, according to Rifkin. There are some issues, which he doesn’t mention. It is a transition period. Although sharing society may be our future, there are a lot of big firms, which won’t and this problem is vital to address.

It is really hard to disagree with the authors, which were mentioned above. If twenty years ago economics was as near as your local grocery shop. Now it’s on top of your fingers, in your smartphone. Given the tendency started by introducing the outsource solution. The nice example will be the taxi market.  Modern Uber or Lyft have much more chances for success that old-fashioned taxi services. Crucial point will be flexibility. From the drivers perspective it is easy to pick the best conditions like time, direction and passenger the analogical advantages are provided for a ride-seeker. When in standard business it is quite hectic to connect driver and passenger in the most expedient way, Matchmaking algorithm makes much easier, faster and comfortable for everyone. 

Figure 1, Valuation in Automobile industry

Figure 2, Number of rides in Indonesia 2016
Conclusion

Unfortunately, there are no flawless things in our universe, therefore people have concerns about the future development of the economy. First of all there not a lot, or at least enough leverages, which could control the power of platforms. Is it wise to regulate Airbnb in the same way as the hotels? Probably not. Preoccupations consist of unsure pricing, quality of service and safety overall. Owners of the platforms claim that the base mechanic of the platform could solve it. Price will be measured by old fashioned “hand of the
Figure 3
market”, other aspects could be regulated by basic forums. Either room-seeker or landlord may comment on each other and give ratings to each other. Therefore the market will regulate itself.
                                                                          Figure 4






References
1)Sundararajan, Arun “The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism” 2016
2)Evans David and Shlamensi Richard “Matchmakers: The New Economics of Multisided Platforms” 2016
3)Jeremy Rifkin “The Third Industrial Revolution; How Lateral Power is Transforming Energy, the Economy, and the World” 2011
4)Jeremy Rifkin “The Zero Marginal Cost Society: The internet of things, the collaborative commons, and the eclipse of capitalism” 2014
5)http://fortune.com/2016/03/13/cars-parked-95-percent-of-time/ “Today’s Cars Are Parked 95% of the Time” David Z. Morris March 13, 2016
7)http://bruegel.org/2016/02/uber-and-the-economic-impact-of-sharing-economy-platforms/





Financial integration setbacks


Author: Khurshed Alizoda


Business cycles are known to be more volatile in emerging market economies (EMEs). That is, the growth rates of EMEs are higher than the growth rates of developed countries. At the same time, during recessions the drop in output is also larger. EMEs are more vulnerable to external shocks in the world economy. The integration of the most EMEs to the global financial markets has been very painful. Relatively unorganized and ripe financial market structure of these economies make the integration process long and challenging. The lacking capacity of economic and financial institutions proves out to be incapable to resolve these challenges. However, several economies did manage to come up with the right mix of policies that helped to smoothen the process of financial globalization. The example of East Asian countries provides useful feedback that the standard fiscal and monetary policies are not sufficient on their own in stabilizing the economy which is vulnerable to instant shocks. Rather the constant trade-offs between different policies and tools are vital in achieving the desired stable growth.

With increasing globalization of the world economy, the economic policy changes in major developed economies may have significant effects on EMEs’ economies. Every time when Fed or ECB announces their decision on policy rates, high volatility can be observed in financial markets throughout the world, especially in developing countries. Fed’s hawkish long run outlook on interest rates might result in significant financial outflow from EMEs. Since most of EMEs’ growth of output depends on these capital inflows, the resulting scenario will hurt the economy. In this case, financial “trilemma” becomes a “dilemma”, since independent monetary policies are possible, regardless of the fixed or flexible exchange rate regime, if and only if the capital account is regulated (Rey, 2013). Moreover, Obstfeld (2014) points out the importance of independence of domestic short run nominal interest rates in EMEs from foreign nominal interest rates to curb themselves from external shocks and fluctuations. Here, the type of exchange rate regime also gains its importance.

As a result of increasing rates of inflation throughout the world in 1970s Bretton Woods system fell, and developed countries abandoned fixed exchange rate regime. Floating exchange rate regime became a new standard in automatic stabilization process from external shocks. However, flexible exchange rates “…almost never provide full insulation against disturbances from abroad” (Obstfeld, 2014). Regardless the insufficiency of flexible exchange rate in protecting the economy from different external shocks it yields better outcomes than the fixed exchange rate regime. But still, floating exchange rate regimes in EMEs are more volatile and vulnerable to regular speculative attacks. One of the recent examples being the Argentine peso. 

Asian financial crisis of late 1990s forced most East Asian countries to abandon fixed exchange rate regime. As a result, floats of their currencies were associated with very sharp fluctuations in their values. However, macro prudential tools again played a significant role in stabilizing their economies in crisis period and the rebound from the crisis was fast enough. Another evidence indicating that EMEs need more effective mix of policies that go beyond the standard policies or monetary trilemma.    

Figure 1. Coping with Surges in Capital Inflows: Macroeconomic and Prudential Considerations

Source: “Capital Inflows: The Role of Controls” IMF Position Note.



EMEs have seen critical surge in financial capital inflows in the process of financial liberalization. Relatively high interest rates compared to developed countries have been attracting investors. Most countries enjoy short term capital inflows that get the economy going but in the long run they are caught in instabilities or boom and bust cycles. However, some developing countries were successful in managing financial capital inflows in a way that avoided serious drawbacks. Those who were successful did not rely on a single instrument but rather they used policy mixes. In the times of surge in serious financial capital inflows exchange rate appreciation was allowed and fiscal policy was tightened to curb the economy from overheating. According to Calvo, Leiderman and Reinhart (1996): “To moderate the volume of the inflows and lengthen their maturities, exchange rate flexibility was increased and measures to curb inflows were implemented.”(p.137). But it does not mean that all financial capital inflows hurt the economy. The nature of capital inflows play an important role in choosing the right mix of policy tools. According to Blanchard (2013), “Exogenous bond flows appear to have small negative effects on output, while exogenous non-bond flows appear to have a positive effect.” (Table 1). That is, non-bond flows decrease cost of the borrowing and may yield expansionary impact on the economy.


Source: “Are Capital Inflows Expansionary or Contractionary?”, Blanchard, O.E.

As for the institutions, to carry out credible mix of policies, the healthy and efficient institutions play very important role. Financial globalization will hurt EMEs if they lack strong economic institutions that have a capacity to face stringent challenges. Making the right call in volatile environment with too many options on hand is not an easy task. Recent macro prudential regulations and reforms encouraged by IMF and the World Bank may make EMEs’ life easier in financial globalization. But still, to apply reforms and regulations efficiently the quality of economic institutions is vital.

Financial globalization, of course, has positive externalities for the economies that strive to join financial world and integrate their economies. Raising all the restrictions on capital flow and becoming closer to financial world is seen as a modern trend by many economists. However, harm from financialization is larger than its benefits for EMEs. Most of the developing countries possess a fragile financial system that is not ready for financial openness instantly. To make financial integration a benefit for the economy EMEs should carry out various reforms and apply regulations to control turbulent processes.

Floating exchange rate regime is important as a stabilization mechanism. Macroeconomic policies are very important in reaching clear targets. However, it is not enough to rely on a couple of standard policies but to use comprehensive mix of policies that might go beyond monetary and financial trilemmas to stabilize the economy. Constant trade-offs between policies make this process very challenging, since the tools and goals are many. And those who succeeded in the integration to financial world worked hard on increasing the quality of their economic institutions. Thus, these healthy institutions used the appropriate mix of macroeconomic policies and macro prudential tools to battle volatility and uncertainty brought by financial globalization. Finally, it can be said that financial globalization hurts emerging economies if they are not ready to challenges brought by it. EMEs will encounter various policy choices and trade-offs that won’t be easy to choose from without a clear strategy, and not to mention the possible political instability brought by election cycles, that may reverse the long-run projections.       





Reference 

Blanchard, O.E. (2016) Are Capital Inflows Expansionary or Contractionary? Theory, Policy Implications and Some Evidence, NBER WP No. 21619.

Calvo, Guillermo A., Leonardo Leiderman, and Carmen M. Reinhart. “Inflows of Capital to Developing Countries in the 1990s.” Journal of Economic Perspectives 10 (Spring 1996): 123-139.

Obstfeld, Maurice. (2014) “Trilemmas and Tradeoffs: Living with Financial Globalization.” University of California, Berkeley, NBER, and CEPR.

Ostry, J. A. Ghosh, K. Habermeier, M. Chamon, M. Qureshi, and D. Reinhardt (2010) “Capital Inflows: the Role of Controls” IMF Position Note.

Rey, Helene. (2013). “Dilemma not Trilemma: The Global Financial Cycle and Monetary Policy Independence.” In Global Dimensions of Unconventional Monetary Policy, 2013 Jackson Hole Symposium Proceedings. Kansas City, MO: Federal Reserve Bank of Kansas City, 2014.