online certificate programs

Online certificate programs at BagyaTech .We are transforming and redefining the online education. We are making learning a fun and interactive activity through which learners gain maximum and succeed in their careers.

Posted on: 9 October 2020 | 8:48 am

best free online courses with certificates

H2K Infosys, LLC provides services in complete Software Development Life Cycle (SDLC) right from requirement gathering, analyzing product requirements based on client need, design, technical documentation, online coding classes, testing, and ongoing support. H2K Infosys has a team of people with experience in Quality Assurance Training, Business Analysts, Artificial Intelligence Training, and Agile Scrum Methodology. top trending courses like learning Software Testing, Business Analysts Online Training, AI Training online and Agile Methodology Training more courses register for a free demo class https://www.h2kinfosys.com/

Posted on: 21 August 2020 | 10:06 am

IT Online Training

H2K Infosys, LLC provides services in complete Software Development Life Cycle (SDLC) right from requirement gathering, analyzing product requirements based on client need, design, technical documentation, online coding classes, testing, and ongoing support. H2K Infosys has a team of people with experience in Quality Assurance Training, Business Analysts, Artificial Intelligence Training, and Agile Scrum Methodology. top trending courses like learning Software Testing, Business Analysts Online Training, AI Training online and Agile Methodology Training more courses register for a free demo class

Posted on: 31 July 2020 | 11:02 am

Quant Bust 2020

Zura Kakushadze Quantigic Solutions LLC; Free University of Tbilisi April 7, 2020 Abstract We explain in a nontechnical fashion why dollar-neutral quant trading strategies, such as equities Statistical Arbitrage, suffered substantial losses (drawdowns) during the COVID-19 market selloff. We discuss: (i) why these strategies work during "normal" times; (ii) the market regimes when they work best; and (iii) their limitations and the reasons for why they "break" during extreme market events. An accompanying appendix (with a link to freely accessible source code) includes backtests for various strategies, which put flesh on and illustrate the discussion in the main text.

Posted on: 11 April 2020 | 8:35 am

Three Quant Lessons from COVID-19 (Presentation Slides)

Alex Lipton Hebrew University of Jerusalem; Massachusetts Institute of Technology (MIT) Marcos Lopez de Prado Cornell University - Operations Research & Industrial Engineering; True Positive Technologies Date Written: March 27, 2020   Abstract Many quantitative firms have suffered substantial losses as a result of the COVID-19 selloff. In this note we highlight three lessons that quantitative researchers could learn.

Posted on: 3 April 2020 | 8:18 am

Computational Models That Matter During a Global Pandemic Outbreak: A Call to Action

Flaminio Squazzoni , J. Gareth Polhill , Bruce Edmonds , Petra Ahrweiler , Patrycja Antosz , Geeske Scholz , Émile Chappin , Melania Borit , Harko Verhagen , Francesca Giardini and Nigel Gilbert Journal of Artificial Societies and Social Simulation 23 (2) 10 Abstract The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers’ demands for advice despite the absence of adequate, trusted data. Understanding the pandemic requires fine-grained data representing specific local conditions and the social reactions of individuals. While experts have built simulation models to estimate disease trajectories that may be enough to guide decision-makers to formulate policy measures to limit the epidemic, they do not cover the full behavioural and social complexity of societies under pandemic crisis. Modelling that has such a large potential impact upon people’s lives is a great responsibility. This paper calls on the scientific community to improve the transparency, access, and rigour of their models. It also calls on stakeholders to improve the rapidity with which data from trusted sources are released to the community (in a fully responsible manner). Responding to the pandemic is a stress test of our collaborative capacity and the social/economic value of research.  

Posted on: 2 April 2020 | 4:54 am

ICQFM 2020: 14. International Conference on Quantitative Finance and Mathematics

Location: Lisbon, Portugal; Date: April 16th, 2020; The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.read more...

Posted on: 31 March 2020 | 7:03 pm

6th International Symposium in Computational Economics and Finance (ISCEF) 2020

Location: Paris. France; Date: April 2nd, 2020; The rapid development of financial systems is often attributed to the effects of financial innovation, the internationalization of capital markets, the evolution in financial regulations and intermediation, the development of emerging markets, the financialization of commodity markets, etc. These factors generated more globalized and complex markets and economic systems. The recent financial downturn rapidly spread to all international financial systems, triggered a major liquidity crisis, induced important volatility excess for commodity prices and consequently an economic recession for several developed and emerging countries. In this context, economists noted the failure and limitation of well-known models to forecast this crisis. Thus, several models and methods were severally excluded and numerous sophisticated tools in mathematical finance, econometrics and computational economics are checked and revised in order to improve the modeling and forecasting of macroeconomic and financial time-series dynamics.read more...

Posted on: 31 March 2020 | 7:03 pm

Pandemics Depress the Economy, Public Health Interventions Do Not: Evidence from the 1918 Flu

Sergio Correia Board of Governors of the Federal Reserve System Stephan Luck Federal Reserve Bank of New York Emil Verner Massachusetts Institute of Technology (MIT) - Sloan School of Management March 26, 2020 Abstract What are the economic consequences of an influenza pandemic? And given the pandemic, what are the economic costs and benefits of non-pharmaceutical interventions (NPI)? Using geographic variation in mortality during the 1918 Flu Pandemic in the U.S., we find that more exposed areas experience a sharp and persistent decline in economic activity. The estimates imply that the pandemic reduced manufacturing output by 18%. The downturn is driven by both supply and demand-side channels. Further, building on findings from the epidemiology literature establishing that NPIs decrease influenza mortality, we use variation in the timing and intensity of NPIs across U.S. cities to study their economic effects. We find that cities that intervened earlier and more aggressively do not perform worse and, if anything, grow faster after the pandemic is over. Our findings thus indicate that NPIs not only lower mortality; they also mitigate the adverse economic consequences of a pandemic.

Posted on: 26 March 2020 | 11:35 am

COVID-19 / Coronavirus Research at arXiv

Note: ArXiv is a pre-print server which means that anyone can post papers before they have been formerly peer-reviewed. We direct you there for information purposes only without any recommendation. Search at ArXiv [rss feed_url="http://feeds.feedburner.com/CoronavirusArXiv" limit="20" show_title="false" show_channel_link="false" show_time="false"] [block title="templates / simple / 3-col"]

Posted on: 18 March 2020 | 5:50 pm

Modelling the Bottom of the Covid-19 Financial Crisis

The global pandemic of current scope is something that was experienced by only a few living people. We have some historical accounts of how it unfolded in the past, but otherwise, it is uncharted territory. It is a true Black Swan event - event that I believe was in nobody's lineup of stress testing scenarios. But we can still try to get some understanding of the scope of the current situation. The actual global crisis is a mix of 2 crisis. The first one is the health-care / pandemic crisis, during which millions of people will be infected, and unfortunately, a lot of people will die. The second crisis is the economic crisis/recession, which will follow simultaneously with (or soon after) the first one (due to the decrease in worldwide supply and demand). The second crisis cannot end before the first one is solved. We cannot exactly say when the market bottom will occur, but at least we can try to model the minimum time needed for things to get under control during the pandemic. The post Modelling the Bottom of the Covid-19 Financial Crisis appeared first on QuantPedia.

Posted on: 17 March 2020 | 1:03 pm

What are the drivers of business demography and employment in the countries of the European Union?

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Posted on: 17 March 2020 | 7:05 am

Decomposing value globally

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Posted on: 17 March 2020 | 7:05 am

Governments as bankers - how European bonds have substituted bank deposits

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Posted on: 17 March 2020 | 7:05 am

Product and process innovation: the implication of making comparisons between uniform pricing monopolist and second-degree price discriminating monopolist

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Posted on: 17 March 2020 | 7:05 am

We can increase happiness through public policy – and in our jobs and private lives too

Thomas Jefferson said that ‘The care of human life and happiness… is the first and only legitimate object of good  government.’ We agree with him, as did the LSE’s main architects – the Webbs and William Beveridge. So too do an increasing number of policymakers worldwide: only last October, the European Union’s Council of Ministers requested that all of its member states ‘put people and their wellbeing at the centre of policy design’. This basic idea goes back to the eighteenth century Enlightenment and it is, in our view, the most important idea of the modern age. But until recently, it has not been easy to apply for lack of systematic knowledge about the causes of happiness. The new science of happiness is now changing all that, while at the same time modern psychology provides individuals with new tools to manage their emotions and their human relationships. With these tools, millions of individuals and policymakers worldwide are already taking active steps to create happier lives – a world happiness movement is being born. In our new book, Can We Be Happier? Evidence and Ethics, we describe the new tools – the evidence on what causes happiness and how we can increase happiness, both through public policy and in our jobs and private lives. So what causes the huge variation in people’s life satisfaction? Figure 1 provides the answer for Britain, and the key factors are very different from the ones that most politicians assume. The biggest single factor is mental health – whether you have ever been diagnosed with depression or an anxiety disorder. Figure 1. What things best explain the spread of happiness in Britain? Source: Mainly the British Household Panel Survey Next come human relationships – including the quality of your work and your private life – as well as your physical health. While all of these factors explain 18% of the variance of happiness, income inequality explains only 1%. Unemployment causes even less – it is a devastating experience but affects relatively few people. We find this disconcerting since poverty and unemployment are the topics on which Richard has worked for most of his life. So is it possible that they are more important at explaining the scale of really low life satisfaction? The answer is No: the ranking of factors is essentially the same as in Figure 1. And this applies in all the advanced countries that we have studied. Moreover, if people themselves are asked what they worry about most, the ranking of factors is much the same (Sainsbury’s, 2019): money and debt come sixth. But the next issue is this: the state can do something about income inequality and unemployment, but can it do anything about mental illness or the quality of work, or loneliness, or family conflict and domestic violence? To this, the answer is emphatically Yes: there is experimental evidence of ways in which we can tackle all these problems and reduce the unhappiness they cause. No one would propose ‘forcing people to be happy’, but we really should offer people help with the central problems in their lives. And in general, the costs of such improvements in social and psychological infrastructure are small compared with the costs of physical infrastructure. And the subsequent savings are often enough to repay the costs. In our book, we review what can be done to raise happiness by many of the key players in society. We can start with teachers. Children’s wellbeing should clearly be a major goal for every school, and schools should be measuring their wellbeing on a yearly basis. To improve wellbeing requires major changes in the ethos in many schools, but it also requires the weekly teaching of life skills, using evidence-based materials. To facilitate this, our research group sponsored and evaluated a complete course of life skills for children aged 11-15 called ‘Healthy Minds’, which has dedicated lesson plans and materials. In the evaluation, this passed the cost- effectiveness test of the National Institute for Health and Care Excellence (NICE) at a cost of only 3% of NICE’s maximum permitted cost (Lordan and McGuire, 2018; Layard et al, 2018). After school, young people enter the world of work, where research shows that the worst time in the week is when workers are with their boss. This is shocking and in many workplaces we need a quite different management philosophy. A trial led by MIT shows that where workers are involved more closely in decision-making, their job satisfaction rises by more than 10% and their quit rate falls by a third (Moen et al, 2017). But while good schools and workplaces can do much for mental health, at least a fifth of children and adults will still experience serious anxiety disorders or depression. When this happens, there are now strong evidence-based psychological therapies (above all, cognitive behavioural therapy or CBT, which helps at least 50% of patients to recover). Because mental illness stops so many people working, these therapies save more public money than they cost (Layard and Clark, 2014). Fortunately, we now have a whole range of effective therapies for tackling not only standard mental health problems, such as anxiety and depression, but also substance abuse, family conflict and domestic violence. We need urgently to make these evidence-based therapies available to all who need them – exactly as we do in the case of physical illness. But humans are also social animals. Loneliness is a major problem in modern society, and town planners and community organisations can do much to promote social connections (Tan, 2006; Pitkala et al, 2009). There is much that different professions can do, and many more experiments are needed to increase their ability to contribute to a happier society. Making all this happen requires a major rethink of the role of government. First, governments have to commit themselves to the goal of the people’s wellbeing. This means a new form of policymaking where policies are judged by the amount of happiness they produce per pound of expenditure. Second, there has to be a wider view of the role of the state in which it not only helps people to be better workers, but also supports them in becoming better parents. The evidence is clear: the Scandinavian countries do better at this than any others. There, the size of the state is bigger and these are the happiest countries (Helliwell et al, 2019). There is no convincing evidence that low-tax countries are happier. Will politicians listen? There is every reason that they should. Studies of European elections since 1970 as well as the vote for Donald Trump in the United States in 2016 show clearly that elections are decided more by the happiness of the people than by their incomes and employment (Ward, 2020). Even so, there are limits to what public policy can do, and at least as important is what each of us does of our own accord. So what kind of culture do we want? The dominant culture of today urges us to strive to be more successful than other people. At the level of society, this is a zero- sum game. For every winner, there is a loser. That is not great for the losers, but it can also be very stressful for the winners. From the Gallup World Poll, we know that stress has increased worldwide despite much better living standards than a generation ago. This makes no sense. Instead, we need a positive-sum culture where people get more of their happiness from making other people happier – and from concentrating less on external success and more on the inner feelings of themselves and others. So we need a revolution not only in political philosophy but also in moral philosophy. Our aim should not be personal success, but rather to create as much happiness as we can in the world (including, of course, our own). This requires us to take better care of our own wellbeing but also that of others. Fortunately, modern psychology (and parts of ancient wisdom) enables us to do both. The basic idea is that our feelings are not just things that happen to us but can be influenced by how we think. This old idea was more or less rediscovered by modern psychology in the 1970s. Aaron Beck, the founder of CBT, showed how we could observe our automatic negative thoughts. By concentrating more on positive memories and actions, we could transform our mood. More recently, Martin Seligman has shown how these ideas can be applied to all of us. At the same time, mindfulness and other meditative techniques have taken off, enabling millions to achieve greater contentment with their lives. Despite appearances, a new gentler culture is being born. But for cultures to flourish, they need to be embedded in organisations, where people meet regularly to remind themselves of what really matters and to feel supported and inspired. In a largely post-religious age, there are few such organisations representing the new, gentler culture. One of them is Action for Happiness: it has one million followers on Facebook, but its main activities are face-to-face groups. A group begins with an eight-week course called ‘Exploring What Matters’, which has been independently evaluated in a randomised experiment. Two months after the course, participants were found to have increased their happiness by over one point (out of ten) – more than the change that occurs when someone finds a partner or a job (see Figure 2). Figure 2. ‘Exploring What Matters’ raises happiness more than finding a job or a partner Source: De Neve et al (2020) So we now have two powerful and converging trends, one top-down and the other bottom-up. From the top-down, we have policymakers and professionals paying much more attention to the outcome that really matters – how people actually feel about their lives. From the bottom-up, we have millions of people refocused on how to be happy and make others happy. In our view, this is an unstoppable force and within a generation, we shall have better public policy and better lives. Let’s hope that LSE will have played a major role in this. Perhaps LSE needs a new motto: not ‘to know the causes of things’, but ‘to know the causes of happiness’. Notes: This blog post appeared first on CentrePiece, the magazine of the LSE’s Centre for Economic Performance. It draws on the book Can We Be Happier? Evidence and Ethics.  The post expresses the views of its author(s), not the position of LSE Business Review or the London School of Economics. Featured image by Batel Studio on Unsplash When you leave a comment, you’re agreeing to our Comment Policy Richard Layard is director of LSE’s Centre for Economic Performance’s wellbeing programme and founder director of CEP. He is an emeritus professor of economics.     George Ward is a PhD student in behavioural and policy sciences at the Massachusetts Institute of Technology, and a research associate in CEP’s wellbeing programme. His work aims to combine insights from economics, psychology and political science, and focuses primarily on the study of human happiness and well-being.          

Posted on: 17 March 2020 | 1:07 am

Market states: A new understanding. (arXiv:2003.07058v1 [q-fin.CP])

We present the clustering analysis of the financial markets of S&P 500 (USA) and Nikkei 225 (JPN) markets over a period of 2006-2019 as an example of a complex system. We investigate the statistical properties of correlation matrices constructed from the sliding epochs. The correlation matrices can be classified into different clusters, named as market states based on the similarity of correlation structures. We cluster the S&P 500 market into four and Nikkei 225 into six market states by optimizing the value of intracluster distances. The market shows transitions between these market states and the statistical properties of the transitions to critical market states can indicate likely precursors to the catastrophic events. We also analyze the same clustering technique on surrogate data constructed from average correlations of market states and the fluctuations arise due to the white noise of short time series. We use the correlated Wishart orthogonal ensemble for the construction of surrogate data whose average correlation equals the average of the real data.

Posted on: 17 March 2020 | 1:07 am

Degrees of displacement: The impact of household PV battery prosumage on utility generation and storage. (arXiv:2003.06987v1 [econ.GN])

Reductions in the cost of PV and batteries encourage households to invest in PV battery prosumage. We explore the implications for the rest of the power sector by applying two open-source techno-economic models to scenarios in Western Australia for the year 2030. Household PV capacity generally substitutes utility PV, but slightly less so as additional household batteries are installed. Wind power is less affected, especially in scenarios with higher shares of renewables. With household batteries operating to maximise self-consumption, utility battery capacities are hardly substituted. Wholesale prices to supply households, including those not engaging in prosumage, slightly decrease, while prices for other consumers slightly increase. We conclude that the growth of prosumage has implications on the various elements of the power sector and should be more thoroughly considered by investors, regulators, and power sector planners.

Posted on: 17 March 2020 | 1:07 am

Old Problems, Classical Methods, New Solutions. (arXiv:2003.06903v1 [q-fin.MF])

We use a powerful extension of the classical method of heat potentials, recently developed by the present author and his collaborators, to solve several significant problems of financial mathematics. We consider the following problems in detail: (A) calibrating the default boundary in the structural default framework to a constant default intensity; (B) calculating default probability for a representative bank in the mean-field framework; (C) finding the hitting time probability density of an Ornstein-Uhlenbeck process. Several other problems, including pricing American put options and finding optimal mean-reverting trading strategies, are mentioned in passing. Besides, two non-financial applications -- the supercooled Stefan problem and the integrate-and-fire neuroscience problem -- are briefly discussed as well.

Posted on: 17 March 2020 | 1:07 am

Deep Deterministic Portfolio Optimization. (arXiv:2003.06497v1 [q-fin.MF])

Can deep reinforcement learning algorithms be exploited as solvers for optimal trading strategies? The aim of this work is to test reinforcement learning algorithms on conceptually simple, but mathematically non-trivial, trading environments. The environments are chosen such that an optimal or close-to-optimal trading strategy is known. We study the deep deterministic policy gradient algorithm and show that such a reinforcement learning agent can successfully recover the essential features of the optimal trading strategies and achieve close-to-optimal rewards.

Posted on: 17 March 2020 | 1:07 am