Tutor Wave,Frequency

I am currently doing thesis for the Masters programme in High Frequency Engineering at Technische Universität München. I like and enjoy teaching. In my homeland Pakistan I have taught several high school students as a private tutor.

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

Relevant Units covered in Undergraduate Studies.• Applied Mathematics-1( Complex Variables, Vector Algebra, Calculus Taylors theorem, expansion of functions
in power series, partial derivatives of first and higher orders, total differentiation concept of commutative partial derivatives, Eulers theorems of homogeneous functions, deduction from Euler’s theorems ,errors, approximations, maxima and minima functions of two variables.)
• Applied Mathematics-2( Exact differential Equations, Linear equations & reducible to linear (Bernoulli equations), Linear Diff. Eqn. of nth order with constant coefficients, complimentary function & particular integral when the function of the
integral on the R.H.S. are exponential, Sin(ax + b), Cos(ax + b).Cauchys Linear equation( Homogenous eqn.). The Legendre Linear equation, Variation of parameters & method of undetermined coefficients. Elementary application of above diff. Eqn. in solving engineering problems from Electrical Engg., Chemical Engg., Mechanical Engg., and Civil Engg. Integral Calculus: Rectification of plane curves, Double and Triple integrals, Their geometrical interpretation & evaluation. Evaluation of double integrals by change of order and change to polar. Application of double and triple integrals to areas, volumes & mass. Beta & Gamma Functions.)

• Applied Mathematics 3(Fourier Series and Integrals: Orthogonal and orthonormal functions, expression of a function in a series of orthogonal functions,s ine and cosine functions and their orthogonality properties. Fourier series, Drichlet conditions, periodic functions, even and odd functions, half range sine and cosine series, Parseval's relation. Complex form of Fourier series, introduction to Fourier integral, relation with Laplace transform. Laplace Transforms: Function of bounded variable ( statement only ), Laplace transforms of 1, at, exp( at ), sin( at ), cos( at ),sinh(at), cosh(at), erf(t), shifting properties, expressions with proofs for L { t f(t) }, L { f(t)/t }, Laplace of an integral and derivative)

• Applied Mathematics 4(Complex Variables: Regions and paths in the Z plane. Path/Line integral of a function. Inequality conditions for a path integral to be independent of the path joining two points. Contour Integral, Cauchy's theorem for analytical functions with continuous derivatives. Matrices: Brief revision of vectors over real field, inner product, normal, linear independence, orthogonality. Characteristic values and vectors, and their properties for Hermitian and real Symmetric matrices. Vector Calculus: Scalar and Vector point functions, directional derivative, level surfaces, gradient, surface and volume integrals, definition of curl, divergence. Use of operator. Conservative, irrotational, solenoidal fields. Green's theorem for plane regions and properties of line integral in a plane.)

• Applied Mathematics 5(Probability and topics in Statistics: Statistical experiments with random outcomes, Sample space, probability defined on the basis of sample space and on the basis of events and their combinations. Theorem on probabilities, conditional probability. Bayes theorem. Random variable, probability distribution for discrete and continuous random variables. Density function and distribution functions. Expected values, variance , moments, moment generating functions, Bernoulli's trials, Binomial , Poisson, normal distributions for detailed study with proof, Other common distributions, T , F, Beta, Gamma, X with indication of the applications, Central limit theorem, Bivariate probability and Frequency distributions, Correlations, regression, lines of regression. Introduction to random samples, use of random numbers, stochastic processes, Time series , queuing theory. Optimization Techniques- Problem formulation, Simplex Method, Revised Simplex Method, Duality & Sensitivity. Unconstrained optimization of several variables• Numerical methods for unconstrained optimisation : Random search & Univariate method, Fletcher Reverse method, Newtons method.)
• Discrete Mathematics ( Logic : Propositions and logical operations, Truth tables, Equivalence and implication, Laws of logic, Mathematical induction and quantifiers. Set theory : Method of proof for set, Venn diagram, set membership tables, definitions, Laws of set theory, Partition of sets. Permutations, combinations and discrete probability. Introduction to permutations and combinations, Generation of permutation and combination, Discrete probability, Conditional probability. Relations and diagraphs., Paths and the relations and diagraphs, Properties of relations, Equivalence relations, Computer representation of relations and diagraphs, Manipulation of relations, Transitive closure, Warshall’s algorithm.Function and pigeon hole principle Definition, Types of functions: injective, surjective, bijective, Composition, identity and inverse, Pigeon hole principle.Graphs , Posets, Hasse Diagram, Lattices, Finite Boolean Algebra, Groups & their Applications Introduction to Rings & Fields.)

Units covered in Postgraduate Studies.
• Advance Financial Mathematics (Access Grid Room -University of Wollongong): Brownian motion, Black-Scholes equation for pricing Digital options and Power options, Reflection principle and barrier options, Pricing options using Monte Carlo Simulations, Monte Carlo estimation methods for hedge ratio, Finite-difference methods for Vanilla options and Asian Options, C++ Programming.
• Financial Econometrics 2 (Monash University):Modeling asset return volatility, volatility modeling for measuring risk and pricing derivatives, continuous time stochastic Processes for pricing financial Derivatives, High Frequency data Analysis, Generalized Method of Moments in Financial Models.
• COMPUTATION IN Stochastics (Monash University): Stochastic differential equations, Taylor expansion of stochastic differential equations, Evaluation of option values. European option. American option, Optimization methods using C++.
• STOCHASTIC CALCULUS AND MATHEMATICAL FINANCE (Dr. Fima Klebaner- Monash University): Ito integrals and Ito’s formula. Stochastic Differential Equations and Diffusions, Calculation of expectations and PDE’s, Feynman-Kac formula. Martingales and Semi martingales. Change of Probability Measure and Girsanov Theorem. Fundamental Theorems of Asset Pricing. Change of Numeraire. Application to options.
• Stochastic Processes II - Random Walks & Markov Chains (Monash University): Simple Random Walks Discrete-time martingales. Markov chains, both continuous and discrete time.
• Applied Statistics: Sample Survey, Clustering, Classification, Principal Component Analysis and Time Series Analysis. (79/100).
• Game Theory and Applications (RMIT University): Strategic Form of Games, Incomplete Information, Cooperative Games.
• Nonparametric Curve Estimation (AMSI - Dr. Aurore Delaigle-University of Melbourne): Kernal Density Estimation, kernel Regression, Spline Regression, Wavelet Analysis and Bootstrapping.
• Financial Time Series (Access Grid Room- University of South Australia): Spectral decomposition, Box-Jenkins models, Forecasting techniques, Smoothing of time series, GARCH and other volatility models, Stochastic Differential Equations.
• Statistical Inference: Statistical Inference at the level of Lee Bain and Max Engelhardt (2000).

“Knowledge acquired under compulsion obtains no hold on the mind”
- Plato

Do you get BLUES studying? Do you often feel lost in the classroom?
Do you sense the need to discuss your study problem with someone who will understand and listen patiently?

Well, get trained from a person who is passionate about education and enjoys to share his knowledge gained through high qualifications and rich experiences.

I have been working as a Mentor, educating students from various top university in Sydney and Melbourne for around close to 3 years. I offer truly individualized service and proficient in understanding student mindset. I am skilled to coach local and international students by understanding their Frequency and helping them build a level of confidence second to none.

No matter where do you place yourself on the learning curve, together we can still do better!!

Your need based assessment is just a call away.

“Study as if you were going to live forever;
Live as if you were going to die tomorrow”
- Maria Mitchell

Recent Testimonials of the service:

“Anish is a fantastic, very patient tutor! He is incredibly competent and has extensive knowledge of all business finance concepts. I would highly recommend him for anybody seeking help.”
Josh, Business Finance, Australia, Queensland University

“His "pedigree" of knowledge assisted me answers to my questions, and his skills set was very helpful indeed. Anish was a fantastic tutor and one which I recommend”
Angela, Derivatives and Securities, Australia, Distance Education WA

"You made what I believed to be very hard topics easy and understandable. I now have confidence leading into the exam and should have started working with you weeks ago!"
Brett, International Banking and Finance, Australia, Monash University

“Not having any background in Accounting and having dropped math in year 10 I was struggling with the most basic accounting subject. Anish has a lot of knowledge on all the products and he really tries to make you understand each topic. I feel that I am understanding accounting more and more after each session. Thanks for your help Anish”
Dragana, Accounting Decision Making, Serbia, Victoria University

“I found the tutorial to be very helpful. You explained the topics very well and made sure that I understood the concepts with examples to follow. I am feeling a lot more confident now and I feel that I am moving on the right track now.”
Natalie, Investments, Australia, Deakin University

I would once again like to thank you for all you help and tutoring sessions. I have just received the results for the accounting subject and I am very impressed. I felt that I went into the exam very confidently. Thank you for all your help, on such short notice.”
Vivianne, Management Accounts, South Australia, Distance Education

“Anish thanks for your support at the eleventh hour for providing guidance. I was completely satisfied with your logical approach and thorough knowledge which helped me a lot.
Sumit, Preparing for CA, North India, Online Education

“Thanks for the tutorials they really helped in terms of confidence, they also gave me an understanding of how to approach exam questions. I found that working through practice problems very helpful and you were able to break down complicated concepts into something that I could understand. Depending on the subjects I take next year, I might need your help again! Thank you very much Anish”
Bec, Financial Accounting, Australia, University of Melbourne

"Anish, you have very good teaching skills. You have complete knowledge on what you are teaching .You do not avoid difficult topics , Instead you take these problems as a challenge and encourage others to do the same.Overall you are a very good and friendly teacher."
Dimple , Cost Management, India, RMIT

"Your quick and timely response was well appreciated"
Peters Dena Marie, Finance, New Orleans, Online Tutoring

“Anish was my management accounting tutorial, I had really short time and was so worried about if I can finish the book or not, but he helped me to cover all the topics in that short time and make me understand all the concepts. I am very thankful to him and will ask for his help in my other accounting subjects.”
Samira, Management Accounting, Iran, RMIT

“Anish has been teaching me company accounting which is one of the most difficult subject of undergraduate accounting but the sessions has been very helpful due to his way of teaching. Especially the way u ask questions makes it interesting to study and easy to understand
the concept. Thanks for all the knowledge that you gifted me”
Shitij, Company Accounts, North India, Deakin University

Qualifications
MBA - Accounting & Finance - (University of Technology Sydney)
Chartered Accountant
Bachelor of Commerce

Membership
Associate Member of Australian Tutoring Association
Associate Member of Institute of Chartered Accountants of India
Member of Tutor Nation
Clear National Police Check Record

Published Work:
“Key Concepts in Financial Management for aspiring CA students”
Arihant Institute – India

Subjects:
Company Accounting, Financial Accounting, Corporate Accounting, Management Accounting, Contemporary Accounting, Accounting Decision Making, Accounting Standards, Cost Management, Business Finance, International Finance, Financial Management, International Banking & Finance, Investments, Derivatives, Business Statistics, Probability, Auditing, Law and TESOL/ESL/IELTS.

Charges
From $25 per hour. No hidden fees.
Individualized or Group of upto 2 students