Various risk models like statistical risk models, risk models based on style and industry factors, and machine learning risk models and how they compare in practical applications empirically, etc.
Cleaning data is an important part of any data analysis project. This article discusses how to clean data using Python by removing unnecessary characters, converting data types, handling missing values, and identifying and removing outliers to prepare the data for analysis. The Python libraries Pandas and NumPy can be used to clean data effectively in just a few lines of code.
This document is a blog post by Harry Karanikas about data manipulation using the pandas library in Python. It likely discusses various techniques for cleaning, transforming and analyzing data frames using functions and methods in pandas. The post was published on January 3, 2021.
Regular expressions (regex) are patterns used to match character combinations in strings. They allow for powerful string searching and manipulation in Python. This document discusses how to use regular expressions in Python to match, find, and replace text patterns within strings.
Harry Karanikas successfully completed the online non-credit course "SQL for Data Science" authorized by University of California, Davis and offered through Coursera. The course certificate was issued on December 12, 2020 and was signed by the instructor Sadie St. Lawrence, who is an AI Strategy Consultant, founder of Women in Data, and instructor at University of California, Davis Extension. Coursera verified Harry Karanikas' identity and participation in the course.
Cleaning data is an important part of any data analysis project. This article discusses how to clean data using Python by removing unnecessary characters, converting data types, handling missing values, and identifying and removing outliers to prepare the data for analysis. The Python libraries Pandas and NumPy can be used to clean data effectively in just a few lines of code.
This document is a blog post by Harry Karanikas about data manipulation using the pandas library in Python. It likely discusses various techniques for cleaning, transforming and analyzing data frames using functions and methods in pandas. The post was published on January 3, 2021.
Regular expressions (regex) are patterns used to match character combinations in strings. They allow for powerful string searching and manipulation in Python. This document discusses how to use regular expressions in Python to match, find, and replace text patterns within strings.
Harry Karanikas successfully completed the online non-credit course "SQL for Data Science" authorized by University of California, Davis and offered through Coursera. The course certificate was issued on December 12, 2020 and was signed by the instructor Sadie St. Lawrence, who is an AI Strategy Consultant, founder of Women in Data, and instructor at University of California, Davis Extension. Coursera verified Harry Karanikas' identity and participation in the course.
Harry Karanikas completed the Statistics Foundations: 2 course on February 28, 2020, earning 3 continuing professional education credits. The certificate details the course name, completion date, number of credits earned, and that it was a self-study course. It also provides information about LinkedIn's registration as a CPE sponsor with the National Association of State Boards of Accountancy.
This document contains the name "Harry Karanikas" and the date "09/01/2020". It appears to be identifying an individual named Harry Karanikas and providing a date, but contains no other substantive information. In just two lines, the document only lists a name and date without any additional context or details.
Introduction to FinTech from the University of Hong-Kong
I learned a lot of new things such as TechFin, RegTech, Startups, ICOs, Distributor Ledger, Payments and the Future of Data-Driven Finance
FinTech is actually a very wide term they naturally or intuitively associate it with payment, which obviously is too narrow
But in reality, is much more than that, Alternative Finance, for example, is the ABCD of FinTech, areas such as Artificial Intelligence, Blockchain, Cloud Computing, and Data. So I believe ‘’obviously ‘’going to be a big, big opportunity in the Financial sector.
The document is a certificate for Harilaos Karanikas who passed the Digital Analytics Foundations test on December 18th, 2018. The certificate code provided is 1005516.
The Rise and Fall of Ponzi Schemes in America.pptxDiana Rose
Ponzi schemes, a notorious form of financial fraud, have plagued America’s investment landscape for decades. Named after Charles Ponzi, who orchestrated one of the most infamous schemes in the early 20th century, these fraudulent operations promise high returns with little or no risk, only to collapse and leave investors with significant losses. This article explores the nature of Ponzi schemes, notable cases in American history, their impact on victims, and measures to prevent falling prey to such scams.
Understanding Ponzi Schemes
A Ponzi scheme is an investment scam where returns are paid to earlier investors using the capital from newer investors, rather than from legitimate profit earned. The scheme relies on a constant influx of new investments to continue paying the promised returns. Eventually, when the flow of new money slows down or stops, the scheme collapses, leaving the majority of investors with substantial financial losses.
Historical Context: Charles Ponzi and His Legacy
Charles Ponzi is the namesake of this deceptive practice. In the 1920s, Ponzi promised investors in Boston a 50% return within 45 days or 100% return in 90 days through arbitrage of international reply coupons. Initially, he paid returns as promised, not from profits, but from the investments of new participants. When his scheme unraveled, it resulted in losses exceeding $20 million (equivalent to about $270 million today).
Notable American Ponzi Schemes
1. Bernie Madoff: Perhaps the most notorious Ponzi scheme in recent history, Bernie Madoff’s fraud involved $65 billion. Madoff, a well-respected figure in the financial industry, promised steady, high returns through a secretive investment strategy. His scheme lasted for decades before collapsing in 2008, devastating thousands of investors, including individuals, charities, and institutional clients.
2. Allen Stanford: Through his company, Stanford Financial Group, Allen Stanford orchestrated a $7 billion Ponzi scheme, luring investors with fraudulent certificates of deposit issued by his offshore bank. Stanford promised high returns and lavish lifestyle benefits to his investors, which ultimately led to a 110-year prison sentence for the financier in 2012.
3. Tom Petters: In a scheme that lasted more than a decade, Tom Petters ran a $3.65 billion Ponzi scheme, using his company, Petters Group Worldwide. He claimed to buy and sell consumer electronics, but in reality, he used new investments to pay off old debts and fund his extravagant lifestyle. Petters was convicted in 2009 and sentenced to 50 years in prison.
4. Eric Dalius and Saivian: Eric Dalius, a prominent figure behind Saivian, a cashback program promising high returns, is under scrutiny for allegedly orchestrating a Ponzi scheme. Saivian enticed investors with promises of up to 20% cash back on everyday purchases. However, investigations suggest that the returns were paid using new investments rather than legitimate profits. The collapse of Saivian l
South Dakota State University degree offer diploma Transcriptynfqplhm
办理美国SDSU毕业证书制作南达科他州立大学假文凭定制Q微168899991做SDSU留信网教留服认证海牙认证改SDSU成绩单GPA做SDSU假学位证假文凭高仿毕业证GRE代考如何申请南达科他州立大学South Dakota State University degree offer diploma Transcript
Fabular Frames and the Four Ratio ProblemMajid Iqbal
Digital, interactive art showing the struggle of a society in providing for its present population while also saving planetary resources for future generations. Spread across several frames, the art is actually the rendering of real and speculative data. The stereographic projections change shape in response to prompts and provocations. Visitors interact with the model through speculative statements about how to increase savings across communities, regions, ecosystems and environments. Their fabulations combined with random noise, i.e. factors beyond control, have a dramatic effect on the societal transition. Things get better. Things get worse. The aim is to give visitors a new grasp and feel of the ongoing struggles in democracies around the world.
Stunning art in the small multiples format brings out the spatiotemporal nature of societal transitions, against backdrop issues such as energy, housing, waste, farmland and forest. In each frame we see hopeful and frightful interplays between spending and saving. Problems emerge when one of the two parts of the existential anaglyph rapidly shrinks like Arctic ice, as factors cross thresholds. Ecological wealth and intergenerational equity areFour at stake. Not enough spending could mean economic stress, social unrest and political conflict. Not enough saving and there will be climate breakdown and ‘bankruptcy’. So where does speculative design start and the gambling and betting end? Behind each fabular frame is a four ratio problem. Each ratio reflects the level of sacrifice and self-restraint a society is willing to accept, against promises of prosperity and freedom. Some values seem to stabilise a frame while others cause collapse. Get the ratios right and we can have it all. Get them wrong and things get more desperate.
Independent Study - College of Wooster Research (2023-2024) FDI, Culture, Glo...AntoniaOwensDetwiler
"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
My study abroad in Bali, Indonesia, inspired this research topic as I noticed how globalization is changing the culture of its people. I learned their language and way of life which helped me understand the beauty and importance of cultural preservation. I believe we could all benefit from learning new perspectives as they could help us ideate solutions to contemporary issues and empathize with others.
Discover the Future of Dogecoin with Our Comprehensive Guidance36 Crypto
Learn in-depth about Dogecoin's trajectory and stay informed with 36crypto's essential and up-to-date information about the crypto space.
Our presentation delves into Dogecoin's potential future, exploring whether it's destined to skyrocket to the moon or face a downward spiral. In addition, it highlights invaluable insights. Don't miss out on this opportunity to enhance your crypto understanding!
https://36crypto.com/the-future-of-dogecoin-how-high-can-this-cryptocurrency-reach/
New Visa Rules for Tourists and Students in Thailand | Amit Kakkar Easy VisaAmit Kakkar
Discover essential details about Thailand's recent visa policy changes, tailored for tourists and students. Amit Kakkar Easy Visa provides a comprehensive overview of new requirements, application processes, and tips to ensure a smooth transition for all travelers.
Economic Risk Factor Update: June 2024 [SlideShare]Commonwealth
May’s reports showed signs of continued economic growth, said Sam Millette, director, fixed income, in his latest Economic Risk Factor Update.
For more market updates, subscribe to The Independent Market Observer at https://blog.commonwealth.com/independent-market-observer.
Vicinity Jobs’ data includes more than three million 2023 OJPs and thousands of skills. Most skills appear in less than 0.02% of job postings, so most postings rely on a small subset of commonly used terms, like teamwork.
Laura Adkins-Hackett, Economist, LMIC, and Sukriti Trehan, Data Scientist, LMIC, presented their research exploring trends in the skills listed in OJPs to develop a deeper understanding of in-demand skills. This research project uses pointwise mutual information and other methods to extract more information about common skills from the relationships between skills, occupations and regions.
Harry Karanikas completed the Statistics Foundations: 2 course on February 28, 2020, earning 3 continuing professional education credits. The certificate details the course name, completion date, number of credits earned, and that it was a self-study course. It also provides information about LinkedIn's registration as a CPE sponsor with the National Association of State Boards of Accountancy.
This document contains the name "Harry Karanikas" and the date "09/01/2020". It appears to be identifying an individual named Harry Karanikas and providing a date, but contains no other substantive information. In just two lines, the document only lists a name and date without any additional context or details.
Introduction to FinTech from the University of Hong-Kong
I learned a lot of new things such as TechFin, RegTech, Startups, ICOs, Distributor Ledger, Payments and the Future of Data-Driven Finance
FinTech is actually a very wide term they naturally or intuitively associate it with payment, which obviously is too narrow
But in reality, is much more than that, Alternative Finance, for example, is the ABCD of FinTech, areas such as Artificial Intelligence, Blockchain, Cloud Computing, and Data. So I believe ‘’obviously ‘’going to be a big, big opportunity in the Financial sector.
The document is a certificate for Harilaos Karanikas who passed the Digital Analytics Foundations test on December 18th, 2018. The certificate code provided is 1005516.
The Rise and Fall of Ponzi Schemes in America.pptxDiana Rose
Ponzi schemes, a notorious form of financial fraud, have plagued America’s investment landscape for decades. Named after Charles Ponzi, who orchestrated one of the most infamous schemes in the early 20th century, these fraudulent operations promise high returns with little or no risk, only to collapse and leave investors with significant losses. This article explores the nature of Ponzi schemes, notable cases in American history, their impact on victims, and measures to prevent falling prey to such scams.
Understanding Ponzi Schemes
A Ponzi scheme is an investment scam where returns are paid to earlier investors using the capital from newer investors, rather than from legitimate profit earned. The scheme relies on a constant influx of new investments to continue paying the promised returns. Eventually, when the flow of new money slows down or stops, the scheme collapses, leaving the majority of investors with substantial financial losses.
Historical Context: Charles Ponzi and His Legacy
Charles Ponzi is the namesake of this deceptive practice. In the 1920s, Ponzi promised investors in Boston a 50% return within 45 days or 100% return in 90 days through arbitrage of international reply coupons. Initially, he paid returns as promised, not from profits, but from the investments of new participants. When his scheme unraveled, it resulted in losses exceeding $20 million (equivalent to about $270 million today).
Notable American Ponzi Schemes
1. Bernie Madoff: Perhaps the most notorious Ponzi scheme in recent history, Bernie Madoff’s fraud involved $65 billion. Madoff, a well-respected figure in the financial industry, promised steady, high returns through a secretive investment strategy. His scheme lasted for decades before collapsing in 2008, devastating thousands of investors, including individuals, charities, and institutional clients.
2. Allen Stanford: Through his company, Stanford Financial Group, Allen Stanford orchestrated a $7 billion Ponzi scheme, luring investors with fraudulent certificates of deposit issued by his offshore bank. Stanford promised high returns and lavish lifestyle benefits to his investors, which ultimately led to a 110-year prison sentence for the financier in 2012.
3. Tom Petters: In a scheme that lasted more than a decade, Tom Petters ran a $3.65 billion Ponzi scheme, using his company, Petters Group Worldwide. He claimed to buy and sell consumer electronics, but in reality, he used new investments to pay off old debts and fund his extravagant lifestyle. Petters was convicted in 2009 and sentenced to 50 years in prison.
4. Eric Dalius and Saivian: Eric Dalius, a prominent figure behind Saivian, a cashback program promising high returns, is under scrutiny for allegedly orchestrating a Ponzi scheme. Saivian enticed investors with promises of up to 20% cash back on everyday purchases. However, investigations suggest that the returns were paid using new investments rather than legitimate profits. The collapse of Saivian l
South Dakota State University degree offer diploma Transcriptynfqplhm
办理美国SDSU毕业证书制作南达科他州立大学假文凭定制Q微168899991做SDSU留信网教留服认证海牙认证改SDSU成绩单GPA做SDSU假学位证假文凭高仿毕业证GRE代考如何申请南达科他州立大学South Dakota State University degree offer diploma Transcript
Fabular Frames and the Four Ratio ProblemMajid Iqbal
Digital, interactive art showing the struggle of a society in providing for its present population while also saving planetary resources for future generations. Spread across several frames, the art is actually the rendering of real and speculative data. The stereographic projections change shape in response to prompts and provocations. Visitors interact with the model through speculative statements about how to increase savings across communities, regions, ecosystems and environments. Their fabulations combined with random noise, i.e. factors beyond control, have a dramatic effect on the societal transition. Things get better. Things get worse. The aim is to give visitors a new grasp and feel of the ongoing struggles in democracies around the world.
Stunning art in the small multiples format brings out the spatiotemporal nature of societal transitions, against backdrop issues such as energy, housing, waste, farmland and forest. In each frame we see hopeful and frightful interplays between spending and saving. Problems emerge when one of the two parts of the existential anaglyph rapidly shrinks like Arctic ice, as factors cross thresholds. Ecological wealth and intergenerational equity areFour at stake. Not enough spending could mean economic stress, social unrest and political conflict. Not enough saving and there will be climate breakdown and ‘bankruptcy’. So where does speculative design start and the gambling and betting end? Behind each fabular frame is a four ratio problem. Each ratio reflects the level of sacrifice and self-restraint a society is willing to accept, against promises of prosperity and freedom. Some values seem to stabilise a frame while others cause collapse. Get the ratios right and we can have it all. Get them wrong and things get more desperate.
Independent Study - College of Wooster Research (2023-2024) FDI, Culture, Glo...AntoniaOwensDetwiler
"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
My study abroad in Bali, Indonesia, inspired this research topic as I noticed how globalization is changing the culture of its people. I learned their language and way of life which helped me understand the beauty and importance of cultural preservation. I believe we could all benefit from learning new perspectives as they could help us ideate solutions to contemporary issues and empathize with others.
Discover the Future of Dogecoin with Our Comprehensive Guidance36 Crypto
Learn in-depth about Dogecoin's trajectory and stay informed with 36crypto's essential and up-to-date information about the crypto space.
Our presentation delves into Dogecoin's potential future, exploring whether it's destined to skyrocket to the moon or face a downward spiral. In addition, it highlights invaluable insights. Don't miss out on this opportunity to enhance your crypto understanding!
https://36crypto.com/the-future-of-dogecoin-how-high-can-this-cryptocurrency-reach/
New Visa Rules for Tourists and Students in Thailand | Amit Kakkar Easy VisaAmit Kakkar
Discover essential details about Thailand's recent visa policy changes, tailored for tourists and students. Amit Kakkar Easy Visa provides a comprehensive overview of new requirements, application processes, and tips to ensure a smooth transition for all travelers.
Economic Risk Factor Update: June 2024 [SlideShare]Commonwealth
May’s reports showed signs of continued economic growth, said Sam Millette, director, fixed income, in his latest Economic Risk Factor Update.
For more market updates, subscribe to The Independent Market Observer at https://blog.commonwealth.com/independent-market-observer.
Vicinity Jobs’ data includes more than three million 2023 OJPs and thousands of skills. Most skills appear in less than 0.02% of job postings, so most postings rely on a small subset of commonly used terms, like teamwork.
Laura Adkins-Hackett, Economist, LMIC, and Sukriti Trehan, Data Scientist, LMIC, presented their research exploring trends in the skills listed in OJPs to develop a deeper understanding of in-demand skills. This research project uses pointwise mutual information and other methods to extract more information about common skills from the relationships between skills, occupations and regions.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Madhya Pradesh, the "Heart of India," boasts a rich tapestry of culture and heritage, from ancient dynasties to modern developments. Explore its land records, historical landmarks, and vibrant traditions. From agricultural expanses to urban growth, Madhya Pradesh offers a unique blend of the ancient and modern.
[4:55 p.m.] Bryan Oates
OJPs are becoming a critical resource for policy-makers and researchers who study the labour market. LMIC continues to work with Vicinity Jobs’ data on OJPs, which can be explored in our Canadian Job Trends Dashboard. Valuable insights have been gained through our analysis of OJP data, including LMIC research lead
Suzanne Spiteri’s recent report on improving the quality and accessibility of job postings to reduce employment barriers for neurodivergent people.
Decoding job postings: Improving accessibility for neurodivergent job seekers
Improving the quality and accessibility of job postings is one way to reduce employment barriers for neurodivergent people.