Insights

Using deep learning model to predict stock price? Highlights Preface Predicting stock prices has been pursued by people, but the randomness of stock prices not easy to forecast. With the progress of data science, the calculation cost has been greatly reduced. This article use more complex deep learning model for stock prices prediction compare to [Quantitative […]

Analyze the relationship between U.S. Treasuries and different types of Taiwan stocks. Highlights Preface Raw material prices soaring, inflation and interest rate increases are the main issues in the financial market this year. The news media often report that the recent decline in Taiwan’s stock market is related to international capital flows, so this article […]

Highlights Preface when the United States 10Y Government Bond -United States 2Y Government Bond <0 ,we call it yield curve inversion 。 Usually longer-term bonds will have higher interest rates, but when the market have doubts about the economy ,yield cruve inversion happen! So in this article , we try to plot the Macroeconomic Index a year […]

Apply Financial Data to Predict Stock Price Fluctuation Highlights Preface Support Vector Machine, short as SVM, is a machine learning algorithm based on Statistics theorem. It is widely used in data classifier and regression. As for this article, we would focus on Classifier. Simply put, classification of SVM is conducted by draw straight or irregular […]

Effective Explanatory Variables for Economic Growth Highlights Preface Least Absolute Shrinkage and Selection Operator, short as Lasso, is mainly used for variable selection and regularization in Regression. The function of “Penalty” setting would in Lasso lets us adjust the complexity. Therefore, with Lasso, we are able to alleviate “Overfitting”. Penalty in the model is used […]

Highlights Preface In Taiwan ,our investor have the higher preference for the high yield stock,and high-yield stocks tend to be accompanied by low volatility,that we call low Beta. The Beta value represent the correlation with the broader market,0050is well known in Taiwan ,and the beta is between about one ,It shows that he can reflect […]

along for the ride Highlights Preface we introduce the Momentum trade last time ,now we are going to teach you how to find this stock ,if we are not highly involved the marker,we often found in the news which already price in ,so what we want to do is find the stock automatic.It also can save […]

TEJ [Directors & Supervisor’s Remunerations database] provides various information related to the remuneration of directors and supervisors, ranging from total remuneration and salary, numbers, remuneration to income ratio to the information of directors, supervisors, and managers’ remuneration and salaries. Up to 55 sub-blocks, users can experience the most complete and accurate Taiwan’s remuneration of directors, supervisors, and managers. This article will introduce the importance of directors’ and supervisors’ remunerations information, applications, and how to find these data.

In 1997, Robert Merton and Myron Scholes won the Nobel Prize in Economics for their Black-Scholes options pricing formula, beating out many other contenders. The Black-Scholes model is still a widely-used option pricing model in the financial industry and by investors due to its excellent mathematical properties, simplicity, and ease of use. Today, we will focus on programming this model and Greeks derived from Black Scholes model.