Service.University2016
Reshape Data to Panel Data and Graphing
25:50
Service.University2016
Hausman Test OLS, FE, RE Comparison (101.dta)
27:32
Service.University2016
OLS, Fixed Effects, and Random Effects Comparison (Panel 101.dta)
34:42
Service.University2016
Panel Data Fixed Effects vs. Random Effects
24:29
Service.University2016
央行貨幣政策工具(一)-量的管制
1:45:40
Service.University2016
Quantile regression (Stata elemapi.dta)
37:28
Service.University2016
Quantile regression (Stata birthweight.dta)
53:37
Service.University2016
Quantile Regression (Stata totexp.dta)
29:11
Service.University2016
Quantile regression (Stata hsb2.dta)
23:09
Service.University2016
Mid-term Exam Review and Discussion 期中考詳細解說
1:19:38
Service.University2016
存款貨幣的創造
1:35:21
Service.University2016
Green Investors: Talk the talk or walk the walk
50:04
Service.University2016
商業銀行之資金去向
1:21:11
Service.University2016
商業銀行之資金來源
1:26:42
Service.University2016
作業一 貨銀導論詳細解說
1:11:30
Service.University2016
01B Stata Basic Commands (crime.dta)
30:57
Service.University2016
00 Research Evaluation
25:00
Service.University2016
01A Stata Basic Commands (auto.dta)
51:20
Service.University2016
00 貨幣銀行學與數位金融導論課程介紹
43:56
Service.University2016
00 貨幣銀行學與數位金融導論
50:06
Service.University2016
作業 詳細解說 利率結構理論
29:03
Service.University2016
作業 詳細解說 貨幣需求 Money Demand
1:03:54
Service.University2016
作業詳細解說 Global Financial Crisis Full
1:13:32
Service.University2016
112-2期中考檢討及詳細解說
1:20:30
Service.University2016
作業 詳細解說 銀行放款銷售 Loan Sale
1:00:12
Service.University2016
Loan Sale (放款銷售)
1:37:30
Service.University2016
作業 詳細解說 銀行流動性風險
41:15
Service.University2016
Bonus#3 通貨膨脹緩解,各國央行都在考慮降息時刻,台灣央行卻於日前升息半碼。由於電價亦於此刻調漲。請說明我央行此刻升息的原因,並輔以图形分析央行此舉(唐突升息)對抑制通膨之可能效果。
21:40
Service.University2016
Bonus#2 解說 美聯準會(Fed)一連串升息動作,美國經濟不但沒陷入衰退,反而持續強勁成長,股市屢創新高。試分析可能的原因
14:01
Service.University2016
作業 詳細解說 銀行產品多角化 Bank Product Diversification
41:25
Service.University2016
作業 詳細解說 資本適足性 Capital Adequacy
35:28
Service.University2016
作業 inflation (ii) part2 詳細解說
1:07:57
Service.University2016
作業 inflation (ii) part1詳細解說
50:31
Service.University2016
作業 詳細解說 Inflation (i) (inflation rate G7 USA 6 45%, UK 9 2, Italy 11 63, see below
1:12:46
Service.University2016
作業 詳細解說 (Global Inflation)
43:01
Service.University2016
期末考檢討訂正
1:06:03
Service.University2016
Switching Regression Introduction
54:16
Service.University2016
作業十三 CBDCs 央行數位通貨
1:01:35
Service.University2016
Python在財務會計之應用 part2
55:13
Service.University2016
Python在財務會計應用 part1
2:23:01
Service.University2016
The Fed Rate Policy, Inflation, Fiscal Debt Analysis and Prediction
44:30
Service.University2016
貨銀常常混淆的觀念
56:00
Service.University2016
央行數位通貨 (CBDCs)
46:49
Service.University2016
作業十二詳細解說 (央行貨幣政策2)
39:03
Service.University2016
作業十一詳細解說 (央行貨幣政策)
39:22
Service.University2016
HW 10 FinTech Bank5.0 The Third Party
41:05
Service.University2016
作業九詳細解說 FinTech vs. Bank 4.0
37:07
Service.University2016
HW 8 moral hazard/adverse selection multiple choices and questions
58:20
Service.University2016
19. Factor Analysis Stata (basins.dta)
37:45
Service.University2016
18. Factor Analysis
40:06
Service.University2016
17. Discriminant Analysis Stata (flower.dta)
32:10
Service.University2016
貨銀與數位金融TEJ Database 訓練 (TEJ Pro, ESG)
1:58:54
Service.University2016
Mid-Term Exam Review and Discussion
1:19:05
Service.University2016
16. Ordered-Logit Stata (pared.dta)
42:24
Service.University2016
15. Multi-Logit Stata (icecream.dta)
59:37
Service.University2016
作業七 (小考)
32:56
Service.University2016
14. Logit Stata (apilog.dta)
17:45
Service.University2016
13. Logit Stata (admit.dta)
18:48
Service.University2016
12. IV 2SLS compare OLS Stata (health.dta)
42:49
Service.University2016
11. IV 2SLS Basic Concept
18:07
Service.University2016
10. IV 2SLS compare OLS Stata (WAGE2.dta)
33:02
Service.University2016
09. IV-2SLS_compare OLS Stata (educwage.dta)
29:37
Service.University2016
作業六商業銀行之資金 來源 去向
1:01:45
Service.University2016
作業五詳細解說 直接融通 間接融通
44:38
Service.University2016
07.Regression Excel and Graph (crime. csv)
26:21
Service.University2016
08. Regression Multicollinearity Stata (elemapi.dta)
38:48
Service.University2016
06. Regression and Post Estimation Analysis (crime.dta)
1:01:37
Service.University2016
作業二 貨幣功能詳細解說
37:53
Service.University2016
作業三 台灣區金融體系詳細解說
1:40:12
Service.University2016
作業一 貨銀導論詳細解說
1:11:30
Service.University2016
03. Stata Merge+Append Command
40:34
Service.University2016
04. Stata t-test (sp500.dta)
18:11
Service.University2016
05. Stata t-test ANOVA MANOVA tests (citytemp.dta)
38:13
Service.University2016
02. Stata Basic Command (Stata 基本指令) Auto.dta
49:28
Service.University2016
01. Research Methodology Types and Evaluating Research
1:17:55
Service.University2016
00. 研究方法課綱介紹 (Research Methodology Course Introduction)
31:29
Service.University2016
00. 貨幣銀行學與數位金融導論 new
1:04:10
Service.University2016
貨幣學派與凱因斯學派之爭論
40:04
Service.University2016
一兆白金幣的帳面遊戲 美國債務上限近違約
19:49
Service.University2016
利率結構理論
1:48:46
Service.University2016
Mid-term Exam Review and Discussion 期中考檢討
1:25:16
Service.University2016
Financial Crises- Causes, Results, and Policies 金融危機原因 結果與對策
1:44:17
Service.University2016
Bank Liquidity Risk-- the Event of SVB Collapsed
1:43:54
Service.University2016
Digital Banking Transformation
1:18:10
Service.University2016
Bonus#2 What would happen when a 6-month Treasury Bills yield equals the S&P 500's earnings yields?
4:57
Service.University2016
Bonus#1 凱恩斯說溫和的通貨膨脹可以促進經濟成長,試用圖形分析說明1之
8:01
Service.University2016
期末考詳細解說
1:12:04
Service.University2016
Switching Regression Stata (sp500.dta)
41:59
Service.University2016
央行數位通貨、乘數與貨幣政策 (CBDC)
1:47:33
Service.University2016
央行數位通貨、乘數與貨幣政策 (CBDC)
1:35:03
Service.University2016
Panel Data- Fixed vs. Random Effects Stata (101 Panel.dta)
1:19:18
Service.University2016
Panel Data Stata (Table 14-1.dta)
51:28
Service.University2016
Panel Data- Fixed Effects vs. Random Effects
46:19
Service.University2016
作業十二詳細解說
39:22
Service.University2016
作業十一詳細解說
1:14:20
Service.University2016
作業十詳細解說 FinTech vs. Bank 4.0
37:07
Service.University2016
Principal Component Analysis Stata (basin.dta)
35:29
Service.University2016
Principal Component Analysis
21:45
Service.University2016
Discriminant Analysis Stata (flower.dta)
26:34
Service.University2016
Logit Basic Concept
34:48