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5
.gitignore
vendored
5
.gitignore
vendored
@@ -11,6 +11,11 @@
|
||||
*.cb
|
||||
*.cb2
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||||
.*.lb
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||||
.DS_Store
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clean.bat
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elegant*-cn.pdf
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elegant*-en.pdf
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*.dates
|
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||||
## Intermediate documents:
|
||||
*.dvi
|
||||
|
||||
40
README.md
40
README.md
@@ -1,21 +1,41 @@
|
||||
<!-- Author : Dongsheng Deng & Liam Huang-->
|
||||
<!-- Program Email: elegantlatex2e@gmail.com -->
|
||||
|
||||
# ElegantBook
|
||||
[Homepage](https://elegantlatex.org/) | [Github](https://github.com/ElegantLaTeX/ElegantBook) | [CTAN](https://ctan.org/pkg/elegantbook) | [Download](https://github.com/ElegantLaTeX/ElegantBook/releases) |
|
||||
|
||||
[Homepage](https://elegantlatex.org/) | [Github](https://github.com/ElegantLaTeX/ElegantBook) | [CTAN](https://ctan.org/pkg/elegantbook) | [Download](https://github.com/ElegantLaTeX/ElegantBook/releases) | [Wiki](https://github.com/ElegantLaTeX/ElegantBook/wiki) | [Weibo](https://weibo.com/elegantlatex)
|
||||
   
|
||||
|
||||

|
||||

|
||||

|
||||

|
||||
-------
|
||||
|
||||
ElegantBook is designed for books. Just enjoy it! If you have any questions, suggestions or bug reports, you can create issues, pull requests or contact us at elegantlatex2e@gmail.com.
|
||||
# ElegantBook: 优美的 LaTeX 书籍模板 An Elegant LaTeX Template for Books
|
||||
|
||||
如果你有其他问题、建议或者报告 bug,可以提交 issues 或者给我们发邮件:elegantlatex2e@gmail.com。
|
||||
ElegantBook 是为 LaTeX 书籍写作而设计的模板,由 [Ethan Deng](https://github.com/EthanDeng) 和 [Liam Huang](https://github.com/Liam0205) 创立,现在主要由 [Ethan Deng](https://github.com/EthanDeng)、[乙醇](https://github.com/syvshc)和[死抠](https://github.com/sikouhjw)维护。如果你有其他问题、建议或者报告 bug,可以提交 issues 或者加入我们的 QQ 用户交流群:692108391。
|
||||
|
||||
# License
|
||||
ElegantBook is designed for writing books, created by [Ethan Deng](https://github.com/EthanDeng) and [Liam Huang](https://github.com/Liam0205), and maintained by [Ethan Deng](https://github.com/EthanDeng), [syvshc](https://github.com/syvshc) and [sikouhjw](https://github.com/sikouhjw). Just enjoy it! If you have any questions, suggestions or bug reports, you can create issues or contact us at elegantlatex2e@gmail.com.
|
||||
|
||||
This work is released under the LaTeX Project Public License, v1.3c or later.
|
||||
|
||||
**本模板自 2023 年 1 月 1 日开始,不再维护,不建议使用本系列模板!为了保证之前版本的用户仍然能查到说明文档,本说明文档仍然保留过去的信息。**
|
||||
|
||||
**Caution: This template will no longer be maintained since January 1st, 2023.**
|
||||
|
||||
## 致谢 Acknowledgement
|
||||
|
||||
|
||||
特别感谢 [sikouhjw](https://github.com/sikouhjw) 和 [syvshc](https://github.com/syvshc) 长期以来对于 Github 上 issue 的快速回应,以及各个社区论坛对于 ElegantLaTeX 相关问题的回复。特别感谢 ChinaTeX 以及 [LaTeX 工作室](http://www.latexstudio.net/)对于本系列模板的大力宣传与推广。
|
||||
|
||||
Thank [sikouhjw](https://github.com/sikouhjw) and [syvshc](https://github.com/syvshc) for their quick response to Github issues and continuously support work for ElegantLaTeX community. Thank ChinaTeX and [LaTeX Studio](http://www.latexstudio.net/) for their promotion.
|
||||
|
||||
|
||||
## 协议 License
|
||||
|
||||
本模板发布遵循 LaTeX 项目公共许可证 1.3 c 或更高版本。
|
||||
如果是衍生作品,请务必加入协议声明和模板信息(github、CTAN 地址)。
|
||||
|
||||
This work is released under the LaTeX Project Public License, v1.3c or later.
|
||||
|
||||
|
||||
## 衍生品 Derivative Works
|
||||
|
||||
+ [ElegantBookdown](https://github.com/XiangyunHuang/ElegantBookdown):[XiangyunHuang](https://github.com/XiangyunHuang) 开发并维护的基于 ElegantBook 的 Bookdown 模板。
|
||||
+ [bookdownplus](https://github.com/pzhaonet/bookdownplus):应网友要求,[pzhaonet](https://github.com/pzhaonet) 在 bookdownplus 收录了 ElegantPaper 模板,并为 Mac 做了字体适配。
|
||||
+ [PanBook](https://github.com/annProg/PanBook):[annProg](https://github.com/annProg) 开发并维护的基于 Markdown 写作的工作流,收录了 ElegantBook 和 ElegantPaper 模板。
|
||||
|
||||
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@@ -1,27 +0,0 @@
|
||||
# This file is the source file of the scatter.pdf
|
||||
# source page: https://matplotlib.org/gallery/shapes_and_collections/scatter.html
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
# Fixing random state for reproducibility
|
||||
np.random.seed(19680801)
|
||||
|
||||
|
||||
N = 50
|
||||
x = np.random.rand(N)
|
||||
y = np.random.rand(N)
|
||||
colors = np.random.rand(N)
|
||||
area = (30 * np.random.rand(N))**2 # 0 to 15 point radii
|
||||
|
||||
ax = plt.subplot(111)
|
||||
ax.scatter(x, y, s=area, c=colors, alpha=0.5)
|
||||
|
||||
# Hide the right and top spines
|
||||
ax.spines['right'].set_visible(False)
|
||||
ax.spines['top'].set_visible(False)
|
||||
|
||||
# Only show ticks on the left and bottom spines
|
||||
ax.yaxis.set_ticks_position('left')
|
||||
ax.xaxis.set_ticks_position('bottom')
|
||||
|
||||
plt.savefig('scatter.pdf', transparent=True)
|
||||
127
reference.bib
127
reference.bib
@@ -1,68 +1,71 @@
|
||||
@article{Zeng2017,
|
||||
abstract = {{\textcopyright} 2017 Zeng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Peer-to-peer (P2P) lending, as a novel economic lending model, has triggered new challenges on making effective investment decisions. In a P2P lending platform, one lender can invest N loans and a loan may be accepted by M investors, thus forming a bipartite graph. Basing on the bipartite graph model, we built an iteration computation model to evaluate the unknown loans. To validate the proposed model, we perform extensive experiments on real-world data from the largest American P2P lending marketplace - Prosper. By comparing our experimental results with those obtained by Bayes and Logistic Regression, we show that our computation model can help borrowers select good loans and help lenders make good investment decisions. Experimental results also show that the Logistic classification model is a good complement to our iterative computation model, which motivates us to integrate the two classification models. The experimental results of the hybrid classification model demonstrate that the logistic classification model and our iteration computation model are complementary to each other. We conclude that the hybrid model (i.e., the integration of iterative computation model and Logistic classification model) is more efficient and stable than the individual model alone.},
|
||||
author = {Zeng, Xiangxiang and Liu, Li and Leung, Stephen and Du, Jiangze and Wang, Xun and Li, Tao},
|
||||
doi = {10.1371/journal.pone.0184242},
|
||||
file = {:D$\backslash$:/Nuts/Reference/A decision support model for investment on P2P lending platform - Zeng et al. - 2017.pdf:pdf;:D$\backslash$:/Nuts/Reference/A decision support model for investment on P2P lending platform - Zeng et al. - 2017(2).pdf:pdf},
|
||||
isbn = {1111111111},
|
||||
issn = {19326203},
|
||||
journal = {PLoS ONE},
|
||||
number = {9},
|
||||
pages = {1--18},
|
||||
title = {{A decision support model for investment on P2P lending platform}},
|
||||
volume = {12},
|
||||
year = {2017}
|
||||
}
|
||||
@article{EINAV2010,
|
||||
author = {Einav, Liran And Cullen, Amy Finkelstein Mark R.},
|
||||
file = {:D$\backslash$:/Nuts/Reference/Estimating Welfare in Insurance Markets Using Variation in Prices - EINAV, CULLEN - 2010.pdf:pdf},
|
||||
isbn = {1932-6203 (Electronic) 1932-6203 (Linking)},
|
||||
issn = {19326203},
|
||||
journal = {Quarterly Journal of Economics},
|
||||
number = {August},
|
||||
pages = {877--921},
|
||||
pmid = {24710357},
|
||||
title = {{Estimating Welfare in Insurance Markets Using Variation in Prices}},
|
||||
volume = {CXXV},
|
||||
year = {2010}
|
||||
}
|
||||
@article{Veiga2018,
|
||||
abstract = {Would consumer surplus increase if annuity rates were age-neutral? This paper characterizes the socially optimal contractibility of a given signal in markets with adverse selection. A signal (e.g., age) partitions consumers into subsets (e.g., young and old). A regulator restricts price-discrimination on the basis of the signal if the consumer subsets where the level of cost is higher are also the subsets where there is greater deadweight loss due to adverse selection. Such signals are empirically common. To illustrate the welfare benefit of price discrimination policy, I use a structural model to estimate its impact on the UK annuities market. The model is estimated using proprietary data that include the annuity seller's estimate of each individual's longevity. I find that restricting price discrimination can increase consumer surplus by the equivalent of about {\pounds}6.5 million per year.},
|
||||
author = {Veiga, Andr{\'{e}}},
|
||||
file = {:D$\backslash$:/Nuts/Reference/The Impact of Price Discrimination in Markets with Adverse Selection - Veiga - 2018.pdf:pdf},
|
||||
keywords = {Adverse Selection,D41,L52,Price Discrimination,Structural Estimation JEL Classification Codes: D8},
|
||||
title = {{The Impact of Price Discrimination in Markets with Adverse Selection}},
|
||||
year = {2018}
|
||||
|
||||
@article{en3,
|
||||
title={{The Mechanism and Effectiveness of Credit Scoring of P2P Lending Platform: Evidence from Renrendai.com}},
|
||||
author={Li, Qiang and Chen, Liwen and Zeng, Yong},
|
||||
journal={China Finance Review International},
|
||||
volume={8},
|
||||
number={3},
|
||||
pages={256--274},
|
||||
year={2018},
|
||||
publisher={Emerald Publishing Limited}
|
||||
}
|
||||
|
||||
@article{Chen2018,
|
||||
abstract = {We use data from a major peer-to-peer lending marketplace in China to study whether female and male investors evaluate loan performance differently. Controlling for variables of investor demographics, investor experience, and loan characteristics, we find that loans invested by female investors are more likely to default and have lower loan return in the future than loans invested by male investors. We define abnormal default or abnormal loan return as the part of the loan default or the part of loan return that is not explained by loan characteristics and find that the loans invested by female investors have higher abnormal default and lower abnormal loan return than the loans invested by male investors. Furthermore, female investors perform similarly to male investors in abnormal default or abnormal loan return when investors have high levels of education or income or when investors work in finance or information technology industries.},
|
||||
author = {Chen, Jia and Jiang, Jiajun and jane Liu, Yu},
|
||||
doi = {10.1016/j.jempfin.2018.06.004},
|
||||
file = {:D$\backslash$:/Nuts/Reference/Financial literacy and gender difference in loan performance - Chen, Jiang, Liu - 2018.pdf:pdf},
|
||||
issn = {09275398},
|
||||
journal = {Journal of Empirical Finance},
|
||||
keywords = {Financial Literacy, Gender Difference, Loan Default, Loan Return,Peer-to-peer Lending},
|
||||
number = {71673007},
|
||||
pages = {307--320},
|
||||
title = {{Financial Literacy and Gender Difference in Loan Performance}},
|
||||
volume = {48},
|
||||
year = {2018}
|
||||
|
||||
@article{en2,
|
||||
author = {Carlstrom, Charles T and Fuerst, Timothy S},
|
||||
title = {{Agency Costs, Net Worth, and Business Fluctuations: A Computable General Equilibrium Analysis}},
|
||||
journal = {The American Economic Review},
|
||||
pages = {893-910},
|
||||
ISSN = {0002-8282},
|
||||
year = {1997},
|
||||
type = {Journal Article}
|
||||
}
|
||||
|
||||
@article{Havrylchyk2018,
|
||||
abstract = {The objective of our paper is to explore the role of P2P lending platforms through the prism of the theory of financial intermediation. P2P lending platforms perform the brokerage function of financial intermediaries by matching lenders' supply and borrowers' demand of funding, according to the risk and the maturity of their needs. Unlike banks, P2P lending platforms do not create money and do not perform risk and maturity transformation. However, they can organize secondary markets to trade loan contracts before maturity and some P2P lending platforms aim at providing a fixed income to lenders. To ensure efficient and sustainable financial intermediation, P2P lending platforms need to ensure that they are not subject to principal-agent problems and that their incentives coincide with those of lenders. The possibility of orderly resolution of P2P lending platforms failures might decrease moral hazard problems that are inherent in the modern financial intermediation.},
|
||||
author = {Havrylchyk, Olena and Verdier, Marianne},
|
||||
doi = {10.1057/s41294-017-0045-1},
|
||||
file = {:D$\backslash$:/Nuts/Reference/The Financial Intermediation Role of the P2P Lending Platforms - Havrylchyk, Verdier - 2018.pdf:pdf},
|
||||
issn = {14783320},
|
||||
journal = {Comparative Economic Studies},
|
||||
keywords = {Access to finance,Financial crisis,Information and communication technologies,Internet,Market structure,Online lenders,Peer-to-peer lending},
|
||||
number = {1},
|
||||
pages = {115--130},
|
||||
publisher = {Palgrave Macmillan UK},
|
||||
title = {{The Financial Intermediation Role of the P2P Lending Platforms}},
|
||||
url = {https://doi.org/10.1057/s41294-017-0045-1},
|
||||
volume = {60},
|
||||
year = {2018}
|
||||
@article{en1,
|
||||
author = {Quadrini, Vincenzo},
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year = {2011},
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type = {Journal Article}
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}
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@article{cn1,
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author = {方军雄},
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key = {fang1 jun1 xiong2},
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type = {Journal Article}
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@article{cn2,
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author = {刘凤良 and 章潇萌 and 于泽},
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key = {liu2 feng4 liang2 zhang1 xiao1 meng2 yu2 ze2},
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title = {{高投资、结构失衡与价格指数二元分化}},
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year = {2017},
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type = {Journal Article}
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}
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@article{cn3,
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author = {吕捷 and 王高望},
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key = {lv3 jie2 wang2 gao1 wang4},
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title = {{CPI 与 PPI “背离”的结构性解释}},
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type = {Journal Article}
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}
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Reference in New Issue
Block a user