A Relative Investigation of Various Algorithms for Online Financial Fraud Detection Techniques

Online financial transactions play a crucial role in today’s economy. It becomes an unavoidable part of the business and global activities. Transaction fraud executes thoughtful intimidations to e-commerce spending. Now-a-days, the online contract or business is fetching additional sound by knowing the types of online transaction frauds associated with, these are raising which disturbs the currency accompanying business. It has the capability to confine and encumber the contract accomplished by the intruder from an honest consumer’s credit card information. In order to avoid such a problem, the proposed system is established transaction limit for the customers. Efficient data is only considered for detecting fraudulent user action and it happens only at the time of registration. Transaction which is happening for any individual is not at all known to any FDS (Fraud Detection System) consecutively at the bank which mainly issues credit cards to customers. To speak out this problem, BLA (Behaviour and Location Analysis) is executed. The FDS tracks at a credit card provided by bank. All the inbound business is directed to the FDS aimed at confirmation, authentication and verification. FDS catches the card particulars and matter to confirm that the operation is fake or genuine. The pick-up merchandises are unknown to Fraud Detection System. If the transaction is assumed to be fraud, then the corresponding bank declines it. In order to verify the individuality, uniqueness or originality, it uses spending patterns and geographical area. In case, if any suspicious pattern is identified or detected, the FDS system needs verification. The information which is already registered by the user, the system identifies infrequent outlines in the disbursement method. After three invalid attempts, the system will hinder the user. In this proposed system, most of the algorithms are checked and investigated for online financial fraud detection techniques.

‘The Kinge and His Cubbs’ in Peril

This chapter examines Elizabeth Stuart's ledger to show how her spending patterns reveal the rhythms of her life at Oatlands. It also considers several plots against her family. The first is a pair of overlapping plots whose combined intention was to overthrow King James in favour of his first cousin, the English-born Lady Arabella Stuart and thence install Thomas Grey, 15th Baron Grey of Hilton, as de facto king, and secure greater religious toleration for Catholics in England. The famed Elizabethan explorer and privateer Sir Walter Raleigh was amongst the backers of this plan. The conspirators escaped execution but not imprisonment. The second is the Gunpowder Plot. The confession of Guy Fawkes showed beyond doubt that although the primary aim had been to blow up parliament with James and Henry in attendance, this was merely a clearing of the way, as 'they intended that the king's daughter the Lady Elizabeth should have succeeded'. The chapter then explores Elizabeth Stuart's education, looking at how Henry and Elizabeth behaved and were in many ways treated as if they were twins.

Spending patterns portend permanent economic changes

Services spending shows little sign of recovering, exacerbating the inflationary imbalances in durable goods and energy

Relationship among state reopening policies, health outcomes and economic recovery through first wave of the COVID-19 pandemic in the U.S.

State governments in the U.S. have been facing difficult decisions involving tradeoffs between economic and health-related outcomes during the COVID-19 pandemic. Despite evidence of the effectiveness of government-mandated restrictions mitigating the spread of contagion, these orders are stigmatized due to undesirable economic consequences. This tradeoff resulted in state governments employing mandates at widely different ways. We compare the different policies states implemented during periods of restriction (“lockdown”) and reopening with indicators of COVID-19 spread and consumer card spending at each state during the first “wave” of the pandemic in the U.S. between March and August 2020. We find that while some states enacted reopening decisions when the incidence rate of COVID-19 was minimal or sustained in its relative decline, other states relaxed socioeconomic restrictions near their highest incidence and prevalence rates experienced so far. Nevertheless, all states experienced similar trends in consumer card spending recovery, which was strongly correlated with reopening policies following the lockdowns and relatively independent from COVID-19 incidence rates at the time. Our findings suggest that consumer card spending patterns can be attributed to government mandates rather than COVID-19 incidence in the states. We estimate the recovery in states that reopened in late April was more than the recovery in states that did not reopen in the same period– 15% for consumer card spending and 18% for spending by high income households. This result highlights the important role of state policies in minimizing health impacts while promoting economic recovery and helps planning effective interventions in subsequent waves and immunization efforts.

SPENDING PATTERNS ON MILLENNIAL GENERATION IN SURABAYA

This study aims to examine spending patterns in the millennial generation in Surabaya. Respondents of this study were the millennial generation who were divided into two age groups, namely 21-28 years old, who were referred to as junior millennials, and those aged 29-36 years who were referred to as senior millennials. The analysis technique used is a crosstab to examine the relationship between age and spending pattern of the millennial generation and an independent-sample t-test to test the difference between the spending pattern of the junior millennials and senior millennials. This study showed a significant relationship between age and spending pattern on the millennial generation, and there is a significant difference between the spending pattern of the junior millennials and senior millennials.

How is Clinical Trial Reimbursement Money Spent? South African Trial Participants’ Reported Reimbursement Spending Patterns and Perceptions of Appropriate Reimbursement Amounts

Reimbursement of participants in clinical trials is extensively debated. Guidance recommends that compensation should reflect time, inconvenience and reimbursement of expenses. This study describes how participants spend their reimbursement and perceptions of appropriate reimbursement amounts. This was a sub-study of the evidence for contraceptive options and HIV outcomes (ECHO) trial. Participants were from two sites in KwaZulu-Natal, South Africa. A mixed methods approach was used. 500 participants completed a questionnaire, and 32 participated in one of four focus group discussions (FGD). The majority (81%) used reimbursement for transport to the research site, followed by toiletry purchases (64%). Many described how reimbursement supplemented income, used to cover basic living costs. Some used money to buy luxury items and takeaway foods. The ideal reimbursement amount per visit ranged: ZAR150-ZAR340 (US$10–24). Reimbursement spending and perceptions are in line with local guidance. Reimbursement should consider risk minimization together with ensuring informed, voluntary decision making.

Inside the Black Box: A Difference-in-Difference Analysis of Shifts in Postsecondary Institution Spending Patterns in Response to "Promise" Financial Aid Programs

<p>Using a panel dataset from 2000-2014, this paper employs a difference-in-difference design to consider the impact of the introduction of a “promise program” on postsecondary institutions’ internal spending levels and patterns. We find that promise programs influence postsecondary institutional behavior in every area we tested: student-related and non-student-related expenditure levels and shares. We find decreases in student-related expenditure areas at 2-year institutions, but no significant change at 4-years. Non-student-related expenditures are mixed at 2-years with levels of expenditures increasing for auxiliary but decreasing in public service areas. By contrast public service expenditures increase at 4-years. Shares of expenses also shift with declining spending on student services but increased institutional support at 2-years. However, there are no changes to the share of expenses at 4-years. Overall, we find that 2- and 4-year institutions react differently to the introduction of a promise program, with the greatest impact at 2-years.<br></p>

Inside the Black Box: A Difference-in-Difference Analysis of Shifts in Postsecondary Institution Spending Patterns in Response to "Promise" Financial Aid Programs

<p>Using a panel dataset from 2000-2014, this paper employs a difference-in-difference design to consider the impact of the introduction of a “promise program” on postsecondary institutions’ internal spending levels and patterns. We find that promise programs influence postsecondary institutional behavior in every area we tested: student-related and non-student-related expenditure levels and shares. We find decreases in student-related expenditure areas at 2-year institutions, but no significant change at 4-years. Non-student-related expenditures are mixed at 2-years with levels of expenditures increasing for auxiliary but decreasing in public service areas. By contrast public service expenditures increase at 4-years. Shares of expenses also shift with declining spending on student services but increased institutional support at 2-years. However, there are no changes to the share of expenses at 4-years. Overall, we find that 2- and 4-year institutions react differently to the introduction of a promise program, with the greatest impact at 2-years.<br></p>

Natural resource wealth and the informal economy

The ‘resource curse’ associated with natural resource abundance has long been a subject of study across multiple disciplines. Though much research has focused on possible effects of resource wealth on the formal economy, little is known about how such wealth affects the informal sector, a substantial portion of global economic activity. We posit that resource windfalls directly contribute to growth in the informal economy, as investment and spending patterns associated with such revenues limit opportunities within the formal sector and thus channel more labor and businesses into the informal sector. We test these claims across a panel of over 120 countries for the period 1985 to 2012. Across multiple model specifications, we find that resource wealth growth is associated with increased informal economic activity.