Quantitative Finance Quotes

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Understanding what businesses actually do to create and deliver value is essential knowledge, but many business programs have de-emphasized value creation and operations in favor of finance and quantitative analysis.
Josh Kaufman (The Personal MBA: Master the Art of Business)
Investors look at economic fundamentals; traders look at each other; ‘quants’ look at the data. Dealing on the basis of historic price series was once described as technical analysis, or chartism (and there are chartists still). These savants identify visual patterns in charts of price data, often favouring them with arresting names such as ‘head and shoulders’ or ‘double bottoms’. This is pseudo-scientific bunk, the financial equivalent of astrology. But more sophisticated quantitative methods have since proved profitable for some since the 1970s’ creation of derivative markets and the related mathematics. Profitable
John Kay (Other People's Money: The Real Business of Finance)
The best quantitative finance brings real insight into the relation between value and uncertainty, and it approaches the quality of real science; the worst is a pseudoscientific hodgepodge of complex mathematics used with obscure justification.
Emanuel Derman (My Life as a Quant: Reflections on Physics and Finance)
Marx’s central question was: how can a society that converts interpersonal material relations into impersonal relations among things, and reproduces economic life for the abstract purpose of value augmentation or profit making, simultaneously meet general norms of economic life as a byproduct? This is the question seeking the “logic” or “method” of capitalist madness in our earlier words. All other questions of the march of capitalism in human history, its process of becoming, and the conditions of its historical transitoriness, hinge on that. And answering it is systemically threatening because, firstly, it reveals what bourgeois economic thought from its inception in classical political economy has fought to conceal: that capitalism is not a natural order but a historically transient society. And secondly, it shows that capitalism is not just an asymmetrically wealth distributive, exploitative, alienating, crisis ridden society. Rather, it is an “upside-down”, “alien” order (as Marx put it), which reproduces human material existence as a byproduct of its “extra-human” goal of augmenting abstract, quantitative value – or profit making.
Richard Westra (Unleashing Usury: How Finance Opened the Door for Capitalism Then Swallowed It Whole)
readable little book by Jonathan Regenstein (Regenstein, 2018) called Reproducible Finance with R.
Ernest P. Chan (Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading))
adjust the historical prices by a multiplier instead of subtracting $d so that the historical daily returns will remain the same pre- and post-adjustment. This is the way Yahoo! Finance adjusts its historical data, and is the most common way.
Ernest P. Chan (Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading))
adjusted close prices here do not match the adjusted close prices displayed in the Yahoo! Finance table. The reason for this is that there have been dividends distributed after 6/9/2005,
Ernest P. Chan (Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading))
Ramakrishna Paramhans Ward, PO mangal nagar, Katni, [M.P.] 2nd Floor, Above KBZ Pay Centre, between 65 & 66 street, Manawhari Road Mandalay, Myanmar Phone +95 9972107002 1. Study Organizations in Myanmar: A Growing Demand for survey companies in Myanmar is a Southeast Asian nation steeped in culture and history. Over the past ten years, it has undergone rapid economic growth and modernization. This development has made an expanding market for different administrations, including statistical surveying. Businesses in Myanmar benefit greatly from the assistance of survey firms in comprehending consumer behavior, market trends, and the landscape of competition. Among the main players in this field is AMT Statistical surveying, an organization known for its complete administrations and neighborhood skill. The Role of survey companies in Myanmar Businesses wishing to establish or expand their presence in this dynamic market must conduct market research in Myanmar. Myanmar, which has a population of over 54 million people, presents significant opportunities for businesses operating in a variety of industries, including tourism, finance, consumer goods, and telecommunications. However, the market also faces unique obstacles like a diverse ethnic landscape, varying degrees of economic development across regions, and a regulatory environment that is constantly shifting. By providing insights into consumer preferences, purchasing patterns, and market dynamics, survey companies assist businesses in navigating these complexities. To get accurate and relevant data, they use a variety of methods, such as observational studies, qualitative interviews, focus groups, and quantitative surveys. Driving Overview Organizations in Myanmar A few overview organizations work in Myanmar, each offering a scope of administrations custom-made to address the issues of various clients. AMT Market Research stands out among these due to its extensive experience and thorough comprehension of the local market. AMT Statistical surveying AMT Statistical surveying is a noticeable player in Myanmar's statistical surveying industry. Surveys of customers' satisfaction, market research, brand health monitoring, and other services are all offered by the business. AMT's group of experienced scientists and examiners influence their neighborhood information and skill to convey noteworthy bits of knowledge for organizations. AMT Statistical surveying uses a blend of customary and current information assortment techniques. Depending on the research objectives and target audience, they conduct in-person interviews, telephone surveys, and online surveys. Their methodology guarantees top notch information assortment, even in remote and difficult to-arrive at areas of Myanmar. Myanmar Advertising Exploration and Advancement (MMRD) Laid out in 1992, MMRD is one of the most established statistical surveying firms in Myanmar. The organization offers an extensive variety of examination administrations, including market passage studies, contender investigation, and financial investigations. MMRD has gained notoriety for its intensive and solid exploration, making it a confided in accomplice for both neighborhood and worldwide organizations. Boondocks Myanmar Exploration Boondocks Myanmar Exploration is one more outstanding player on the lookout. The organization represents considerable authority in giving experiences into Myanmar's advancing business sector scene. Their administrations incorporate area explicit exploration, purchaser conduct studies, and effect evaluations. Wilderness Myanmar Exploration is known for its inventive philosophies and capacity to adjust to the quickly changing economic situations. Understanding Myanmar Understanding Myanmar is a somewhat new participant in the statistical surveying industry however has rapidly earned respect for its excellent exploration and client-driven approach.
survey companies in Myanmar
Every time the politicians we elect attempt to increase our standard of living or employment prospects by increasing government spending to stimulate economic activity (‘Keynesian economics’ as it is called); and every time a national bank tries to increase our standard of living or employment prospects by stimulating economic activity by increasing the money supply (‘quantitative easing’ as it is called), each of those actions has its ideological origins in the ideas contained in John Law’s Money and Trade Considered, and the actions of John Law’s Mississippi Scheme.
Gavin John Adams (John Law: The Lauriston Lecture and Collected Writings)
QUANTITATIVE RESEARCH AND TRADING - The latest theories, models and investment strategies in quantitative research and high frequency trading
Jonathan Kinlay
Reflections on Careers in Quantitative Finance Carnegie Mellon’s Steve Shreve is out with an interesting post on careers in quantitative finance, with his commentary on the changing landscape in quantitative research and the implications for financial education.
Paul Ellis
Global finance made so much hay, not through efficient markets but by riding up and down three interlinked giant global asset bubbles using huge amounts of leverage. The first bubble began in US equities in 1987 and ran, with a dip in the dot-com era, until 2007. It was the longest equity bull market in history, and it spread out from the United States to boost stock markets all over the world. The smart cash that was being made in those equity markets looked around for a hedge and found real estate, which began its own global bubble phase in 1997 and ran until the crisis hit in 2006. The final bubble occurred in commodities, which rose sharply in 2005 and 2006, long before anyone had heard the words “quantitative easing,” and which burst quickly since these were comparatively tiny markets, too small to sustain such volumes of liquidity all hunting either safety or yield. The popping of these interlinked bubbles combined with losses in the subprime sector of the mortgage derivatives market to trigger the current crisis.
Mark Blyth (Austerity: The History of a Dangerous Idea)
Our standard of progress was conceived for a different era with different problems. Our statistics no longer capture the shape of our economy. And this has consequences. Every era needs its own figures. In the eighteenth century, they concerned the size of the harvest. In the nineteenth century, the radius of the rail network, the number of factories, and the volume of coal mining. And in the twentieth century, industrial mass production within the boundaries of the nation-state. But today it's no longer possible to express our prosperity in simple dollars, pounds, or euros. From healthcare to education, from journalism to finance, we're all still fixated on 'efficiency' and 'gains,' as though society were nothing but one big production line. But it's precisely in a service-based economy that simple quantitative targets fail... It's time for a new set of figures.
Rutger Bregman (Utopia for Realists: How We Can Build the Ideal World)
But after Kapor took Merton's finance course, he decided that quantitative finance was less a science than a faith - a doctrine for ideologues "blinded by the power of the model." It appealed to intellectuals who craved a sense of order but could lead them disastrously astray if markets moved outside the model.
Roger Lowenstein (When Genius Failed: The Rise and Fall of Long-Term Capital Management)
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