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Order Statistics and Their Applications to Quantitative Finance [PDF]

open access: yes, 2008
This study concerns about order statistics and their applications to quantitative finance. So far, theories and applications of order statistics have been well developed and applied to many scientific fields ranging from conventional statistical problems
原田, 康平   +6 more
core   +1 more source

Statistical Tools for Finance and Insurance (2nd edition) [PDF]

open access: yes
Statistical Tools for Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance.
Rafal Weron   +2 more
core  

Regional Finance and Regional Disparities in China [PDF]

open access: yes
China’s growth has been spectacularly high and persistent over the last few decades. However, there have been regular expressions of concern about the uneven distribution of the benefits across regions and, at times, it has been asserted that the ...
Jing He   +4 more
core   +1 more source

The Maximum Lq-Likelihood Method: an Application to Extreme Quantile Estimation in Finance [PDF]

open access: yes
Estimating financial risk is a critical issue for banks and insurance companies. Recently, quantile estimation based on Extreme Value Theory (EVT) has found a successful domain of application in such a context, outperforming other approaches.
Davide Ferrari, Sandra Paterlini
core  

Quantitative Research Methods in Corporate Finance, Exemplified by Stata, Python, and R [PDF]

open access: yes
Focused on empirical methods and their applications to corporate finance, this innovative text equips students with the knowledge to analyse and critically evaluate quantitative research methods in corporate finance, and conduct computer-aided ...
Mavruk, Taylan,
core  

Imputation Methods for Incomplete Dependent Variables in Finance [PDF]

open access: yes
Missing observations in dependent variables is a common feature of many financial applications. Standard ad hoc missing value imputation methods invariably fail to deliver efficient and unbiased parameter estimates.
Paul Kofman, Ian Sharpe
core  
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Editorial for special issue on advances in Actuarial Science and quantitative finance

Methodology and Computing in Applied Probability, 2022
Claude Lefèvre, , Runhuan Feng
exaly  

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