GwanSiu Blog

Keep Learning, Shaping the Future

商业银行的业务与管理

银行业面临的挑战 银行利润增速放缓 货币市场闹“钱荒” (case: 2003年夏天) 失去了利率统一的保护(利率市场化) 移动支付爆炸式增长 大众对银行的信任度下降 互联网金融日益壮大 金融脱媒 1. 商业银行的起源与发展 商业银行是通过存款,贷款,汇兑,储蓄等业务,承担信用中介的金融机构。 1.1 银行业的...

金融衍生工具与金融市场机制理论

什么是金融衍生工具? 金融衍生工具的基本特征。 金融衍生工具的主要分类及特点: 远期合约,期货,期权,互换和信用衍生品。 重点理解金融衍生工具的种类及特点,理解风险与收益及资产组合理论的基本知识。 1. 什么是金融衍生工具? 金融衍生工具最早起源于某一种特点的商品,之后演变成是由买卖双方达成的一种金融契约或...

利率(Interest rate)

1. 利息(Interest)和利率(Interest Rate) 资金的价格是利率(Interest rate),商品的价格是CPI,外汇的价格是汇率(exchange rate)。 什么是利率? 1.1.Interest rate(from wiki): an interest rate is the amount of interest due per pe...

KL Divergence and Maximum Likelihood

1. KL Divergence 1.1 Definition of KL Divergence The Kullback-Leibler (KL) divergence is a measure of how a probability distribution differs from another probability distribution. In Bayesian lear...

Markov Chain Monte Carol (MCMC)

1. Monte Carlo methods 1.1 Monte Carlo methods are algorithm that: Generate samples from a given probability distribution $p(x)$. Estimate expectations of functions $\mathbb{E}[f(x)]$ under ...

Support Vector Machine

1. Support Vector Machine Let’s consider two classes classification problem, and there are two point sets, each of which is $N$ point. One set of points lie in a hyperplane $H_{1}:\boldsymbol{x}{i...

Random Forest

1. Random Forest Decision tree is a classical algorithm in machine learning area, but decision tree suffer from the drawback of low biase and high variance(overfitting). Random forest is a boostin...

Kalman Filter

1. Introduction Kalman filter and its variants, i.e., extended Kalman fiter, are one of classical algorithm and have been regarded as the optimal solution in tracking and data prediction task. Kal...

Hierarchical Clustering

1. Introducation to Hierarchical Clustering Clustering algorithm is a process to group similar object together. From the view of ininput type, clustering algorithm can be divied into two categorie...

Hidden Markov Model

1. Introduction to Hidden Markov Model In the previous post, naive bayes and gaussian mixture model have been discussed. In naive bayes, we assume all observed data come from one possible latent d...