Japan, Bullet Train and India

Many Indians have grown up with the wonder of Bullet Train, a synonym for technology, speed, and comfort. The Japanese are the pioneers of high-speed trains (French close competitors with TGV in Europe) and due credit to Mr. Hideo Shima, the father of the Shinkansen train aka the bullet train. It’s not a pleasant surprise that the Japanese government will be facilitating the development of high-speed rail in India. The public-private partnership model sponsored by Japan offers an extremely generous rate of 0.1% with repayment of 50 years for the yen denominated loan. A huge game changer for India, trains would be operating at speeds between 300 to 350 km per hour. It’s going to save travelling time, increase productivity and over medium term bring down costs of traveling within India especially airfare. India will buy 18 Shinkansen train sets with the first high-speed rail working by 2022 between Mumbai and Ahmedabad. Apart from extremely benevolent funding agreement,  there is also  provision of transfer of technology to develop production locally. An article published in Economic Times, states that the economy class will only cost INR 3000 (USD 40) for travel time between Mumbai and Ahmedabad (508 km). This is one of the best policy initiatives taken by the government and must be given the utmost importance for support for effective implementation. Further high-speed railway network should be implemented nationally along key routes with increased alacrity.  Continue reading “Japan, Bullet Train and India”

One for Science: Elementary Particles, Mass and Forces of Nature

In pursuit of science, fitness, and happiness, this article is a continuation of the video shared here on fat loss. The chemical equation of human fat C55H104O6 decomposes into Carbon and Oxygen.  Ruben Meerman’s video on the mathematics of weight loss led to the genesis of this article. Dipped with a small dose of quantum mechanics, this article shares a very brief overview of the micro world of elementary particles and laws of nature governing our bodies and this Universe.

Carbon, Hydrogen and Oxygen atoms play a fundamental role in burning fat. About 96% of human body is made up of carbon, oxygen, hydrogen, and nitrogen. Hydrogen and Helium are also the elements which build the atomic mass of our universe. Hydrogen and Helium atoms make up 99.8 % of all atoms and 98% of all atomic mass in the Universe. An atom has protons and neutrons in its nucleus with electrons orbiting the nucleus.  Protons and neutrons have the same weight which is much more than the weight of electrons. Mass of electrons is negligible compared to the weight of protons and neutrons. The number of protons decides the elementary characteristics of the elements on the periodic table. The mass differs from the weight. Mass measured by mass of atoms in the body which is equal to the mass of protons and neutrons combined. Mass is constant while weight changes according to the gravitation pull of the planet. The movies Interstellar and The Martian are good examples of how weights can vary in different planets. Continue reading “One for Science: Elementary Particles, Mass and Forces of Nature”

Math of fat and weight loss: Is there an arbitrage ?

Many fitness enthusiasts might not be aware that fat has a mathematical equation.  Have you ever wondered how does weight loss happen ? Welcome to an intersection of science, mathematics and  weight loss. Coming soon mathematics of fat and the art behind weight loss…

I shared this video with a few people before I decided to post here. The equation of human fat is C55H104O6.  The article is intended to be a lot on fundamentals of physics and will try to complete the article by tomorrow. Till then, watch this informative video…

Statistics series will soon begin. Three types of statistical methods are used throughout econometrics : estimation, hypothesis testing and confidence intervals.  Stay tuned…

One for Jack Ma, Philanthropy and Education

Jack Ma’s recently full-time foray into philanthropy shook the world in a better way but China is no stranger to largesse and giving. From Confucius to Buddha, China has been for centuries a country known for sharing prosperity. Although until recently China was lagging behind the world in charity, a lot has changed in the last few years. There are a plethora of reports on the emergence of philanthropy in China with a lot of focus on education. Jack Ma established a $ 3bn dollar fund in 2014 for philanthropic causes while Pony Ma co-founder of Tencent (WeChat fame) is known for his legendary philanthropic zeal. It seems Ma surname is ubiquitous with charity in China. Just kidding…Another co-founder of Tencent, Charles Chen Yidan whose contribution to charity is monumental, especially in education. China charity law, passed in 2016, gave a huge impetus to non-profits and giving with the aim of regulating domestic charitable organizations within the People’s Republic of China. They are too many reports on the surge in philanthropy in China and it’s beyond the scope of this article to highlight all of them. Li Ka Shing foundation is a very prominent foundation involved in charitable causes just to cite an example. Continue reading “One for Jack Ma, Philanthropy and Education”

Aadhaar Inclusion and Causality Inference

According to a report published today in Economic Times, 92% of the population in India (based on 2018 consensus) with nearly all adults barring 3.5 million have an Aadhaar card. This is a phenomenal achievement in bringing underprivileged people for social and financial inclusion. Aadhaar card’s unique identification number will soon work as a social security number for the population. Making aadhaar card essential for all monetary dealings ultimately aids in widening tax bracket. Over a period of time, casual inference using multivariate analysis will help in measuring the social impact of aadhaar inclusion.

Coming to multivariate analysis which is correlation analysis using multiple variables to measure causality. Although Random Control Trial (RCT) is the gold standard to measure causality between two randomly selected samples sizes i.e. control group and treatment group,  in this case, it will not be possible to make two groups randomly selected i.e. two groups with very similar demographic profile randomly selected, one sample without aadhaar card and one sample with aadhaar card. However, a time series data of the population over a decade before and after aadhaar implementation might lead to useful insights. This form of statistical analysis is not a form of RCT analysis.  Continue reading “Aadhaar Inclusion and Causality Inference”

Module on Structured Products

The first module I published on my blog was on Structured Products. Globally, structured products form an important part of asset allocation and portfolio management. It also a very good way of taking exposures across various asset classes ranging from forex, commodities, equities, interest rates etc. Digital options form an important part of some of the products detailed here. Digital options are binary options i.e. the payout would be zero or predetermined as defined in the investment mandate.

The presentation which was first published in 2015 on this blog, details brief outline on structured products, different types of structured notes, range accrual plans, knout out structured notes and valuation of a NIFTY equity lined structured note.

Check out this link