Complex Algebra crops up in a ton of places in applied math. I came across an application of complex algebra in the context of Inverse Laplace transforms and could not understand some aspects of it. Looked around a bit and stumbled on this book that seemed to explain the principles of complex analysis in an elegant way. Let me summarize some of the main points in the book.
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“Routine, in an intelligent man, is a sign of ambition.”**
- W.H.Auden
The major barrier to skill learning isn’t intellectual…. it’s emotional.
-- Josh Kaufman
“Awareness is learning to keep yourself company.”
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-- Geneen Roth_
This book reminds me of “Elementary Stochastic Calculus with Finance in view ”, a book by Thomas Mikosch, in terms of the overall goal. This book has a goal of making the reader understand the nuts and bolts of Black Scholes pricing formula. Probability theory, Lebesgue integration and Ito Calculus are the main ingredients in the Black Scholes formula and these rely on set theory, analysis and an axiomatic approach to mathematics. Any thing in math is built ground up. This means that every idea/proof/lemma/axiom is pieced together in a logical manner so that the overall framework makes sense. This book introduces all the necessary ingredients in a pleasant way. There are some challenging exercises at the end of every chapter and the reader is advised to work through all of them, and the author motivates the reader by saying
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Right from the preface of the book, Prof. David Williams emphasizes that intuition is more important than rigour. The definition of probability in terms of long term frequency is fatally flawed and hence the author makes it very clear in the preface that “probability works only if we do not define probability in the way we talk about probability in the real world”. Meaning colloquial references to probability gives rise to shaky foundations. However if you build up probability theory axiomatically then the whole subject is as rigorous as Group theory. Statistics in the modern era is vastly different from yesteryears. Computers have revolutionized the application of statistics to real life problems. Most of the modern problems are solved by applying Bayes’ formula via MCMC packages. If this statement is surprising to you, then you should definitely read this book. Gone are the days when statisticians used to refer to some table of distributions, p-values etc. to talk about their analysis.In fact in the entire book of 500 odd pages, there is only about 15 pages of content on hypothesis testing and that too with a title “Hypothesis testing, if you must”. Today one of the critical ingredients of a statistician’s tool box is MCMC. Ok, let me attempt to summarize this book.
Solving an SDE analytically can be done only in few instances(toy SDEs). For the majority of the cases, one solves it numerically. Having said that, this book can be read by anyone who is interested in understanding SDEs better. Simulation is a great way to understand many aspects of Stochastic processes. For example, you can read through Girsanov theorem for change of measure, but by visualizing it through a few sample paths, you have a deeper understanding . I have managed to go over only the chapters that deal with simulation and my summary would obviously comprise only those chapters,i.e. the first two chapters. I have postponed reading Chapter 3 that goes in to inference and Chapter 4 that comprises a set of advanced topics. May be I will find time to go over it in the future. For now, let me mention a few points from the book.
Lloyd N. Trefethen
This book gives a non-rigorous treatment to Brownian motion and its applications to finance. Let me summarize a few points from various chapters.
Chapter 1 : Brownian motion
This chapter starts off by specifying Brownian motion by the properties of its increments such as independence, first and second moments, transition density etc. A discrete approximation of BM is shown via a binomial tree. Covariance of BM process is derived. A way to manufacture correlated BM is shown. Illustrations are provided to show that BM is nowhere differentiable. The most important property of BM, the quadratic variation, is shown via a few simulation runs.
Speed reading online content - RSVP - Rapid serial visual presentation( Via Wiki)
The unique method used by RSVP allows for the reading of unlimited text in a limited position. Researchers from Carnegie Mellon have found that as many as 12 words per second are readable in controlled situations (720wpm).Further research has shown that for shorter pieces of text, RSVP formats increased reading speed by 33% with no significant differences in comprehension or task load.
Steven Shreve’s books on Stochastic calculus (Volume I + Volume II) are amazing in terms of breadth. Basic intuition is built in Volume I using a discrete-time binomial asset pricing model. In Volume II, the author introduces all the concepts needed to build a financial model in continuous-time. In this post, I will try to summarize a few points from Volume II.
Chapter 1: Introduction
The most important mind shift that one needs to make when moving from the discrete-time case to continuous-time case is that of “uncountable outcome space”. This means that intuitive understanding of probability is not enough. One needs to have a decent understanding of measure theory. The first chapter and second chapters of the book serve as a crash course to measure theory.
“Big Data” has entered every one’s vocabulary, thanks to the wild success of few companies that have used data to provide valuable information and services. This book gives a bird’s eye view of the emerging field.
The book starts off with an interesting example of the way Google predicted the spread of flu in real time after analyzing two datasets, first one containing 50 million most common terms that Americans type and second one containing the data on the spread of seasonal flu from public health agency. Google did not start with a hypothesis, test a handful models and pick one amongst them. Instead Google tested a mammoth 450 million different mathematical models in order to test the search terms, comparing their predictions against the actual flu cases. They used this model when H1N1 crisis struck in 2009 and it gave more meaningful and valuable real time information than any public health official system.
The author of this book, Anatoly B. Schmidt, has written a book on Market Microstructure and an introductory book on Quant Fin for Physicists
Schmidt is a Physics PhD from Russia who moves to NY and joins the quant-bandwagon on Wall Street. From a person like that one might expect that his autobiography would contain war stories about building-tweaking-testing-implementing models. Unfortunately this book mentions none whatsoever. Instead the author writes about his affairs with various women and his failed marriage. Utterly useless book.
The book begins with a brief note that highlights the difference between “expectation pricing” and “arbitrage pricing”. It gives an example of a bookmaker, someone who takes bets on horses. The bookmaker can always stay in the business by setting up odds based on the money at stake, rather than based on actual probabilities. If the book maker does a statistical analysis of horse performances,track conditions, historical data, etc.. and then sets the odds, there is always a possibility of a huge loss and getting wiped out. If the odds are quoted based on the amount bid on various horses, whatever be the outcome, he can always stay in business. This one little page in the preface is illustrative of the powerful technique to price financial instruments, i.e. “arbitrage pricing”.
In the recent years there have been a lot of books written about quants on Wall Street. Some of the books have been a journalistic account of people, events, technologies that have revolutionized Wall Street. Some of the books are more technical that look like applied math/stats books. This book is a welcome addition to the existing literature. The book has been written by a Physics PhD who traces the rise of Physicists on Wall Street. Emanuel Derman wrote his story (My Life as Quant) way back in 2004 and after a long gap, this is another book from a Physicist.
Not what we have but what we enjoy, constitutes our abundance.
Epicurus
Geeta Ramanujam (Kathalaya ) at TEDx, Bangalore
For some, coffee is a big stimulant and for some the ambience that goes with it, the coffee shop.
Here is a site that provides the right amount of ambient noise of a coffee shop 
Link : Coffitivity
The purpose of the book is to illustrate various asset pricing concepts in a coin tossing world. Imagine a world where there is a money market instrument, an underlying security and various derivatives written on the underlying security. This world has a peculiar feature, i.e., the stock price can move up or down based on a coin toss. So, if one is looking at an option that has expiry 3 units from the current time, there are 8 outcomes of the stock price based on 8 coin toss realizations (HHH,HTH,HHT,HTT,THH,TTH,THT,TTT). Also, the probability of heads and tails are known upfront. One can’t think of a more simpler world for understanding option pricing. So, given this setting, the book explores the valuation of the following securities:
HFT firms profits reportedly have slumped from nearly $5 billion four years ago to $1 billion last year
GETCO, the largest HFT player in the U.S.markets profits from HFT shrank 82% last year.
Move from Ultra High frequency to Mid frequency strategies might happen as the former gets arbed out.
According to a study by TABB Group, HFT is expected to rise to 52% of average daily volume this year. HFT will generate $2 billion in revenue in 2013, TABB Group predicts in a report on U.S. equities. But is the slump in profits going to impact the marketplace liquidity that institutions rely upon?
I have gone through the book so that I can understand the application of compound Poisson process model and the estimation of relevant parameters. The book, as is evident from the title, talks about the math in insurance context. I like “One example” books where a single example is explored in all dimensions throughout the book. This is one such book where the data relating to “Danish fire insurance” is used to illustrate various modeling principles. This dataset comprises the claim arrivals and claim sizes of a fire insurance firm between 1980 and 1990. The book is rich in visuals and that’s a real nice thing about this book.
I stumbled on to RStudio (an open source IDE ) 2 years ago and felt there was a need for a lot of improvement before I could make a switch from eclipse IDE. As I check out the features of it, I see that there has been a ton of improvement in the features. I went through this book to get a basic overview of all features at once. The RStudio site has a set of documentation pages that looks equally good. The only advantage in reading this book is that all the things about RStudio are organized and presented in a systematic manner.
I had to vacate my old flat and move to a new apartment recently and hence had to shift all my books. This entailed categorizing all of them to suit the new shelf space. It was quite an effort and I had to take a day off from work to get the task done. In the process, I stumbled on to this book that was lying in my inventory for many years. This book was published way back in 2004 and I bought it sometime in 2007 thinking that it might give me a 10,000 ft. view of Black Scholes. Working on details sometimes might make one miss the forest for the trees. Books such as these, exist to provide intuition behind the option pricing math. Having said that, the math in the book is not dumbed down as title might seem to suggest. I read this book after 6 years of purchase. At this rate, I think I will barely manage to read all the books that I have, by the time I die 
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The principles of Renewal theory are seen in various stochastic processes such as Countable State Markov chains, Continuous Markov processes, Semi-Markov processes, Regenerative processes etc. In one sense, spotting a Renewal process in a complicated stochastic process makes life easy as one can use the concepts from renewal theory to talk about the ensemble average and limiting time averages of the process. This book belongs to the “classics” genre of Renewal theory. Let me attempt to summarize the main chapters of the book.
The authors are math professors at Princeton. This book is a result of a 7 year effort. It distills all their math teaching experiences in to 150 pages. The book is targeted towards general audience even though most of anecdotes are from a classroom environment.
The authors use the 5 classic Greek elements that were thought to be the foundation of everything – Earth, Fire, Air, Water and Quintessential – to lay out the principles of effective thinking. The authors had approached Princeton university press with a novel idea, i.e., make three copies of the same book and bundle it to one fat book and sell it. The thought process being the book needs to be read at least three times. In the first read, you should read cover to cover to get the big picture of the book. In the second read you are supposed to pause at various points of the book and go over the action items carefully and in the third read, you are to read randomly across various sections and see the connections. The Princeton press with all due respect to the authors rejected their novel idea. So, the book is just about 150 pages but definitely deserves to be read a couple of times to get the best out of it.
The book is about the conversations the author Will Schwalbe has with his mother while she underwent pancreatic cancer treatment.
Mary Anne, the author’s mother is diagnosed with pancreatic cancer in 2007. For a span of two years she undergoes treatment at a cancer hospital in NY that included long hours of chemotherapy sessions. The author often used to accompany her mother for all her treatments. Most of the doctors give their verdict that the cancer has spread and the various treatments can only delay her eventual death.
The author urges the reader to develop a “probabilistic perspective” towards many aspects that one comes across in life. Rational thought about randomness is far better than irrational emotional responses. Whenever we see things being reported, coincidences being sighted, it is better to start off by understanding the question “how unlikely is the event?”. One needs to figure ,” Out of How many ? question to answer the likelihood of the event . For example, the famous 6 degrees of separation that is often quoted, sounds pretty reasonable once you do a back of the envelope calculation.
-- Lloyd Trefethen
The book is about 800 pages long.It is a classic reference to solve ODEs and thus contains almost all the tricks of the trade to solve an ODE, be it analytically or numerically. The good thing about the book is that various methods are presented in the form of a “lesson-exercise-solution” format. Each lesson has good enough examples to give a clear idea of the technique used to solve the ODE. Another interesting feature of the book is that it is interlaced with chapters that describe various setups that generate ODEs. So, in one sense the reader can see everything in one place, i.e., the various kinds of settings that generate ODEs and the methods to solve the ODEs. I happened to go over this book mainly as I was stuck with an ODE that I did not want to solve it numerically. I went through a section of this book to figure out an analytical solution. I liked the style of the specific section so much that I ended up reading almost the entire book. Well, it is a reference and it needs to be used whenever you are in need. But I went through the book just to refresh all the ODE methods that were lying dormant in my memory.After going through this magnum opus on ODE, I am kind of exhausted and plan to stay away from differential equations at least for sometime.
“There is nothing so practical as a good theory”
- Kurt Lewin
This book is one of the few books on stochastic processes that teach concepts via problems. Teaching math concepts via problems with out delving too much in to the theory has its own advantages. The fact that the book is asking you to prove/compute/calculate/verify something at regular intervals means that you are not a passive reader from the word “go”. In fact one cannot be a passive reader at least while going over a math book. But this approach of “using problems” to teach various concepts is extremely appealing for people who are looking for self-study texts. There is a whole section on Markov chains where a few definitions theorems are interlaced between what is largely a set of interesting exercises that guide the reader to understand discrete and continuous Markov processes. The interesting thing about this book is that, even though the title seems to communicate that it is a “learn by doing” book, the math for all the proofs, lemma and propositions are quite rigorous. There are a few places where the author refers the reader to other books, but by and large it is a self-contained text.
The title of the book gives away the main idea behind the book, i.e., ways to separate skill and luck in any outcome. Take any field, be it sports, investing, business , etc. all we get to see is the outcome. In games like chess, the outcome is clearly attributed to player’s “Skill” and in games like slot-machines / casino games, the outcome is clearly attributed to “Luck”. However there are a lot of activities that fall somewhere in between this Luck-Skill continuum. The book tries to answer the following questions :
Via Intelligent Life
In Hollywood terms, it’s daring to devote even six minutes of animation to adults, rather than their offspring, but, judging by the acclaim that’s being heaped on “Paperman”, the gamble has paid off. The question is, then, when will someone produce an entire feature-length cartoon with an adult audience in mind?
Haim Bodek, the quant trader who was featured in the book “The Dark Pools ” has written a book on what he thinks is the main problem with HFT. This content is more like a collection of articles and blog posts packaged as a book. Despite such a structure, the author focuses on ONE issue through out,i.e., “Special order types”, that he claims as the single most important demon behind HFT dominance.
(This is the commencement address David Foster Wallace gave to the graduates of Kenyon College in 2005. It captures his electric mind, and also his humility–the way he elevated and made meaningful, beautiful, many of the lonely thoughts that rattle around in our heads. The way he put better thoughts in our heads, too. )
(If anybody feels like perspiring [cough], I’d advise you to go ahead, because I’m sure going to. In fact I’m gonna [mumbles while pulling up his gown and taking out a handkerchief from his pocket].) Greetings [“parents”?] and congratulations to Kenyon’s graduating class of 2005. There are these two young fish swimming along and they happen to meet an older fish swimming the other way, who nods at them and says “Morning, boys. How’s the water?” And the two young fish swim on for a bit, and then eventually one of them looks over at the other and goes “What the hell is water?”
This book introduces stochastic calculus in a very intuitive sense not burdening the reader with heavy math from measure theory and functional analysis. The author in the preface says that the reader is deemed to have passed an examination based on the book if he/she can understand the derivation of Black-Scholes that is present in the last chapter of the book. If you pick up any standard text book that proves Black-Scholes , one needs to go through a ton of math before understanding Ito’s lemma that is one of the major tools in deriving the price of a call options. So, the author’s ambitious objective (as stated in the preface) is that the book should teach Ito’s lemma to anyone with a basic understanding of probability and calculus. Does he meet the objective ? Well, you got to poll a large group of readers to get a fair estimate to that question. My opinion is that the author has done a fantastic job of showing the appropriate concepts and tools that one needs to get a hang of, before understanding Black-Scholes PDE. How does the author mange it?
This book has been one of the MOST challenging books to work through. I had tried going through this book many times in the past but could not get past the first 10 pages of the book. The very first concept that is mentioned in the book is the extension of measure from a semi-algebra to a sigma algebra. The proof was just beyond me for the simple reason that my fundamentals were shaky. Not wanting to give up, I had to look for an alternative path to this book. My alternate path was to work through some of the basic fundamentals of real analysis, read around the subject , read about the historical developments behind Lebesue measure and integral, understand Lebesgue integration from a non-measure theoretical perspective,etc. I realize that I have read about dozen books in order to work through this book. Here is the list of 12 books that have helped me:
The author starts off his book using the example of flash crash and an e-bay bidding algo wreaking havoc. He cites these examples as an indication of the extent to which multiple algos dedicated to ONE single task, i.e.bots, are being used in various domains. Obviously the start of algos and heightened excitement for it came from Wall Street. But the author tries to give a journalistic account of all the various places where bots are being used. This book is a light read. It gives examples of interesting people who are using bots to do things that were unthinkable a few years ago, thanks to the super cheap computing power and the ignition( word borrowed from Talent code) given by popular wall street quants, Page&Brin’s and Zuckerbergs of the world.
Via Forbes
Alvin Roth sees plenty of ways economics can make a difference in people’s lives. In contrast with the authors of bestselling books like Freakonomics, who are fascinated by obscure but intriguing questions like how to detect cheating by sumo wrestlers, Roth relishes real-world challenges. “Some say economics has all kinds of good tools and techniques, but it has an absence of interesting problems,” notes Roth, 58, who holds a joint appointment in the Harvard economics department and the business school. “I look around the world, and I see all kinds of interesting, important problems we ought to solve with the tools we have.”
“In mathematics, you don’t understand things. You just get used to them.”
-- Johann von Neumann
Laplace Transformation is a useful tool in problem solving. From the probabilistic theory perspective, Moment generating function is nothing but a linear combination of two Laplace transforms. In fact moment generating function has a more direct relationship with Laplace-Stieltjes transform. Most of the calculations involving MGF and convolutions become easy with the use of Laplace Transform. I think one of the most powerful ways to use Laplace transforms is solving Partial Differential equations. Having the basic Laplace transforms and Inverse Laplace transforms at your fingertips is good for solving Toy PDEs. But in real life, most of the Inverse Laplace transformations have no closed form solutions. They have to be solved numerically. Coding up an Inverse Laplace transform in whatever language you are comfortable is a nice learning experience. My Laplace transform fundas were rusty, so decided to go over this book quickly. The author P.P.G Dyke, being an applied mathematician, makes the book interesting by giving a range of problem domains where Laplace and Fourier transforms can be used. This book is ideal for those who want a quick recap of Laplace and Fourier transforms.
Little is known about Annapurna Devi in the media and amongst sitar lovers. Some people know her as the wife of the Pt. Ravi Shankar, some know her as an expert in Surbahar ( an instrument that is technically superior to Sitar) , some know her as a recipient of Padma Bhushan award. However nothing much is known about her personal life except that her marriage with Ravi Shankar was a disaster. Annapurna Devi has chosen to make herself almost inaccessible. She has stopped performing in public / stopped giving concerts, stopped recording her music. She has shunned public life to an extent that she hardly steps out of her house. She does not welcome any visitors. She teaches sitar and music to a selected few. In a sense, she has almost no contact with the outside world.
Reading this book was like revisiting an old services marketing course. This book is written by Terry Green, a guy who has been in to Queue management business for over 20 years. So, it is more a practitioner’s book written to help supermarket chains, banks, or any establishment that deals with customers who form a Queue to get serviced. This book does not have a single mathematical formula but intuitively covers many aspects of the math behind Queueing.
