Economics for adults lessons in United States

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1 economics for adults teacher in United States

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Trusted teacher: There are few simple effective tools to bring your business idea from your mind to the real world, in a successful way. I've been working as innovation and strategy consultant with many different multinational companies in the world, I've been studying how companies make innovation happen and how they create great business impact. I've been researching and teaching in Business schools and I developed this course to share my experience and create practical tools to learn how to exploit your ideas. The course will provide a basic understanding of today economy, how companies are innovating and are creating success, and future trends. Moreover, students will get REAL practical methods and tools to analyze the market, manage data, spot future trends and opportunities. We will customize the contents of the lessons together to better fit your exact needs. The course is oriented for - new entrepreneurs that want to get real practical tools and method to manage the early-stage business (small and medium), develop a strategic agenda, and learn a practical analytical method to manage and understand data - undergraduate/graduate students that want to learn about start-up and innovation management and learn analytical methods for business Topics examples (CLASSEs ARE FULLY CUSTOMIZED) : - understanding today economic and innovation environment - Dynamics of technology over time - future trends - Choosing innovation projects - Tools to solve business cases - Radical and Incremental Innovations - Analyze your Core Competencies for Developing Style - Who are your competitors? - Innovation Intelligence Tools - Structuring your idea - Business planning - Market identification - Marketing Strategy - Revenue Strategy (How to make money) - Dealing with investors
Business skills · Economics for adults · Start-up business
Trusted teacher: MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
Computer programming · Economics for adults · Statistics
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.6 out of 5 based on 24 reviews.

An introductory course for undergraduates / general readers (Rome)
Omar
Good teacher who can explain clear and according to individual level of knowledge
Review by MARINA
physics course: Electricity, mechanics, kinetics, (Mons)
Simon
Excellente professeur.
Review by WANIS