Bankruptcy practice in the US had undergone significant changes from the days of debtor's prison, to an era of restructuring, following by a post-BAPCPA bias towards liquidations and sales. Can small and medium sized business enterprises survive?
The document proposes a Ballater Land Partnership model for sustainable development through co-ownership. The partnership would see different stakeholders like landowners, local councils, contractors, self-builders, investors, and developers invest in a development through a limited liability partnership structure. This would create a rental pool and system of redeemable units that provide an affordable, indexed-linked housing solution while giving all partners a stake in the high-quality, energy efficient outcomes that benefit the community. The partnership aims to replace the conventional transaction-based development model with a collaborative co-ownership framework.
The document summarizes major events of the global financial crisis from September 2008 to mid-October 2008. It describes Lehman Brothers filing for bankruptcy, the US government bailouts of AIG and Fannie Mae/Freddie Mac, bank mergers and acquisitions in the UK and US, the initial rejection and later passage of the $700 billion bailout bill in the US Congress, and massive government interventions to prop up banks in the US, UK, Europe, and Iceland. Stock markets saw historic volatility and declines over this period as the crisis deepened.
Why are the months of April and October CD replacement months? This short presentation discusses how certain financial situations can reverberate throughout decades.
Kommuninvest is a Swedish state-owned company that provides cost-efficient funding to local governments in Sweden for investments. It has issued over $15 billion annually in funding through bonds on international and domestic capital markets. Kommuninvest has established a green bonds framework and an environmental committee to audit and approve loans for green projects, such as energy and climate strategies, urban development, and waste management. The committee also reviews impact reporting and helps develop the green bonds framework.
This document provides an overview of using XBRL (eXtensible Business Reporting Language) for financial reporting according to IFRS (International Financial Reporting Standards) and US GAAP (Generally Accepted Accounting Principles). It acknowledges contributions from various sources and organizations in developing an understanding of XBRL taxonomy frameworks.
Great approach to tailoring financing to financial needs and goals of borrower. Mortgage terms from 10 to 30 years in annual increments. Ditech gives you the program to compete with the Quicken Yourgage
The document provides an overview of the Canadian life insurance market compared to the US market. It discusses key differences such as population size, head of state, currency, and regulatory bodies. It also summarizes regulations around trafficking life insurance policies in Ontario and other Canadian provinces.
This document discusses probability distributions, including binomial, Poisson, and normal distributions. It provides information on their key properties and formulas. The normal distribution is described in detail, including how it is defined by the mean and standard deviation. The document also discusses calculating areas under the normal curve and applying normal distributions to real-world examples like tablet weights.
The document proposes a Ballater Land Partnership model for sustainable development through co-ownership. The partnership would see different stakeholders like landowners, local councils, contractors, self-builders, investors, and developers invest in a development through a limited liability partnership structure. This would create a rental pool and system of redeemable units that provide an affordable, indexed-linked housing solution while giving all partners a stake in the high-quality, energy efficient outcomes that benefit the community. The partnership aims to replace the conventional transaction-based development model with a collaborative co-ownership framework.
The document summarizes major events of the global financial crisis from September 2008 to mid-October 2008. It describes Lehman Brothers filing for bankruptcy, the US government bailouts of AIG and Fannie Mae/Freddie Mac, bank mergers and acquisitions in the UK and US, the initial rejection and later passage of the $700 billion bailout bill in the US Congress, and massive government interventions to prop up banks in the US, UK, Europe, and Iceland. Stock markets saw historic volatility and declines over this period as the crisis deepened.
Why are the months of April and October CD replacement months? This short presentation discusses how certain financial situations can reverberate throughout decades.
Kommuninvest is a Swedish state-owned company that provides cost-efficient funding to local governments in Sweden for investments. It has issued over $15 billion annually in funding through bonds on international and domestic capital markets. Kommuninvest has established a green bonds framework and an environmental committee to audit and approve loans for green projects, such as energy and climate strategies, urban development, and waste management. The committee also reviews impact reporting and helps develop the green bonds framework.
This document provides an overview of using XBRL (eXtensible Business Reporting Language) for financial reporting according to IFRS (International Financial Reporting Standards) and US GAAP (Generally Accepted Accounting Principles). It acknowledges contributions from various sources and organizations in developing an understanding of XBRL taxonomy frameworks.
Great approach to tailoring financing to financial needs and goals of borrower. Mortgage terms from 10 to 30 years in annual increments. Ditech gives you the program to compete with the Quicken Yourgage
The document provides an overview of the Canadian life insurance market compared to the US market. It discusses key differences such as population size, head of state, currency, and regulatory bodies. It also summarizes regulations around trafficking life insurance policies in Ontario and other Canadian provinces.
This document discusses probability distributions, including binomial, Poisson, and normal distributions. It provides information on their key properties and formulas. The normal distribution is described in detail, including how it is defined by the mean and standard deviation. The document also discusses calculating areas under the normal curve and applying normal distributions to real-world examples like tablet weights.
This document provides an overview of z-scores and the normal distribution. It defines key terms like mean, median, mode and standard deviation. It presents the formulas for calculating z-scores and discusses how to find the percentage of data that falls below or above a given z-score using normal distribution tables. Examples are provided to demonstrate how to calculate z-scores and interpret them on the normal distribution curve.
This document provides information about the standard normal distribution and how to calculate and interpret z-scores and areas under the normal curve. It defines the standard normal distribution as having a mean of 0 and standard deviation of 1. It describes how to calculate a z-score using the formula z = (x - mean) / standard deviation. Several examples are provided of calculating z-scores from raw scores and finding raw scores when given a z-score. The document also describes how areas under the normal curve can represent probabilities and provides examples of calculating areas below, above, and between given z-values.
This document contains examples and explanations of key concepts related to the normal distribution and probability, including:
- Calculating probabilities for various z-scores under the standard normal distribution
- Using the normal distribution to find probabilities for real-world scenarios involving cassette deck lifetimes, cornflake weights, and CEO ages
- Properties of the sampling distribution of sample means, including how it approaches normality as sample size increases based on the Central Limit Theorem
- Worked examples applying concepts like finding probabilities and cutoff scores for sample means and binomial experiments
Stats 3rd nine week chapter 5 review powerpointDebra Wallace
This document provides an overview of key concepts relating to normal distributions and the standard normal distribution. It defines normal distributions and their properties, including that they are symmetric and bell-shaped around the mean. It describes how to draw the standard normal distribution and find areas under the normal curve using the z-score formula and standard normal table. Examples are provided for finding probabilities and percentiles associated with normal distributions. It also addresses how the mean and standard deviation change for sample distributions compared to populations.
Demonstration of a z transformation of a normal distributionkkong
The document demonstrates how to transform a normal distribution with a mean of 10 and standard deviation of 2 into a standard normal distribution with a mean of 0 and standard deviation of 1 using the z-transformation formula. It shows that the z-transformation shifts and compresses the original distribution allowing its probabilities to be determined using standard normal distribution tables. As an example, it finds the probability of a value less than or equal to 8 in the original distribution to be 15.9% by transforming it to the equivalent value of -1 in the standard normal distribution.
This document discusses random variables. It begins by defining a random variable as a real number that can be associated with outcomes of a random experiment. It then discusses key concepts related to random variables including:
- Probability mass functions for discrete random variables
- Examples of discrete and continuous random variables
- Probability distributions and distribution functions
- Calculating the mean, variance, and expectation of random variables
- Properties of variance and how it changes based on scale and origin
- Examples of calculating expectations for different random variables
The document provides examples to illustrate concepts like probability mass functions, discrete vs. continuous random variables, distribution functions, variance, and expectation. It covers the essential topics around random variables in 3 sentences or less
This document discusses key concepts in probability theory including:
- Probability is a quantitative measure of uncertainty ranging from 0 to 1.
- Experiments produce outcomes that define events in a sample space.
- There are different approaches to determining probability (classical, relative frequency, subjective).
- Probability can be classified as marginal, union, joint, or conditional depending on the relationship between events.
- Common discrete and continuous probability distributions include the binomial, Poisson, and normal distributions.
The document discusses random variables and probability distributions. It provides examples of random variables like the number of heads from tossing a coin 3 times. The possible values and probabilities are shown in tables and graphs. Key concepts explained include the expected value (mean) of a random variable being the sum of each value multiplied by its probability. The variance is the sum of the squared differences between each value and the mean, and measures variability. The standard deviation is the square root of the variance.
This document provides an introduction to random variables. It defines random variables as functions that assign real numbers to outcomes of an experiment. Random variables can be either discrete or continuous depending on whether their possible values are countable or uncountable. The document also defines probability mass functions (pmf) which describe the probabilities of discrete random variables taking on particular values. Expectation is introduced as a way to summarize random variables using a single number by taking a weighted average of all possible outcomes.
This document discusses various statistical methods used to organize and interpret data. It describes descriptive statistics, which summarize and simplify data through measures of central tendency like mean, median, and mode, and measures of variability like range and standard deviation. Frequency distributions are presented through tables, graphs, and other visual displays to organize raw data into meaningful categories.
This document defines key concepts related to random variables including:
- A random variable is a numerical measure of outcomes from a random phenomenon.
- Probability distributions describe the probabilities associated with random variables.
- Expected value refers to the mean or weighted average of a probability distribution.
- As the number of trials increases, the actual mean approaches the true mean due to the Law of Large Numbers.
- Binomial and geometric distributions model situations with success/failure outcomes and independence between trials.
Bba 3274 qm week 3 probability distributionStephen Ong
This document provides an introduction and overview of probability distributions. It begins by defining random variables and explaining the difference between discrete and continuous random variables. It then discusses several common probability distributions including the binomial, normal, F, exponential, and Poisson distributions. For each distribution, it provides the key formulas and explains how to calculate values such as the expected value and variance. It also demonstrates how to use Excel functions to calculate probabilities and other measures for these distributions. The document aims to help students understand different probability distributions and how to apply them to calculate relevant metrics.
The document discusses the federal government's bailout programs in response to the financial crisis and economic downturn. It provides an overview of the Emergency Economic Stabilization Act of 2008 which authorized $700 billion for the Troubled Asset Relief Program (TARP) to purchase distressed assets from banks. It also describes the creation of the Term Asset-Backed Securities Loan Facility (TALF) to help restart the credit markets.
Interim Injunctions to Freeze Assets in Fraud Casesppengelley
1. The document discusses the history and development of Mareva injunctions in common law jurisdictions like the UK and Canada. It traces the expansion of such injunctions from exceptions to the common law rule against pre-judgment asset freezing to more broad acceptance.
2. A key case was Mareva Compania Naviera SA v. International Bulkcarriers SA which established that courts have authority to freeze a defendant's assets before trial if there is a risk they may dispose of their assets and defeat a potential judgment.
3. Subsequent cases set guidelines for Mareva injunctions while also broadening the scope to include risks of asset removal rather than just subject matter of litigation. Mills v. Petrovic created a
title Inside Job.pptx its global crises or fraudMaria32232
The document discusses key speakers and causes of the 2008 global economic crisis. Deregulation in the late 1990s and growth of complex financial products like derivatives led to over $100 trillion worth of risky subprime mortgages being packaged and sold. This created a housing bubble that burst in 2007-2008 when borrowers defaulted, causing major global banks and institutions like Lehman Brothers to collapse and precipitating a worldwide recession. Millions lost their jobs, homes, and savings as a result of the crisis fueled by greed and lack of oversight of the financial industry.
2008 Stock Market Disaster Revised September 2012 For SlideshareJoe Collins
The 2008 Stock Market Disaster
The document summarizes the key events and factors that led to the 2008 stock market crisis. It discusses how deregulation of the banking industry in the 1990s allowed banks to engage in risky behaviors like predatory lending and investing in mortgage-backed securities and derivatives. It also examines the role of government policies like the Community Reinvestment Act in pressuring banks to lower lending standards. Ultimately, unregulated trading of mortgage-backed securities and derivatives like credit default swaps led to the crisis when the housing bubble burst in 2007-2008.
REAP - Real Estate Administrative Procedurerevivemyworld
The document discusses the causes of the mortgage crisis, including deregulation of the financial industry that allowed risky lending practices. It will cover evidence of lender wrongdoing, how lender violations can help homeowners get equity back, results clients have achieved, and the death of the short sale. The presentation will address the mortgage crisis, its causes in the unchecked financial industry, and strategies homeowners can use to recover equity.
This document is a certificate of service for a response filed by Allied Systems Holdings, Inc. and Allied Systems, Ltd. (L.P.) regarding a motion by petitioning creditors BDCM Opportunity Fund II, LP, Black Diamond CLO 2005-1 Adviser L.L.C., and Spectrum Investment Partners LP to shorten time for a hearing on appointing a trustee. The certificate lists the parties that were served the response by mail or hand delivery on May 21, 2012.
The document summarizes:
1) Nicolette Ward discusses creative reasons people give for not paying their mortgages, such as the "Freeman on the Land" movement which claims people can opt out of debt obligations.
2) HML forecasts that UK repossessions will decline to 20,606 in 2015, with the highest number in Greater London.
3) A third of interest-only mortgage customers contacted by two lenders immediately took up an offer of free mortgage advice.
ORC Chapter 1705 - Ohio's New Statute on Limited Liability CompaniesAndrew Wecker
This document summarizes an article about Ohio's new statute on limited liability companies (LLCs). It notes that LLCs combine the tax benefits of partnerships with the liability protections of corporations. However, it cautions that LLCs have drawbacks such as instability and difficulties with financing. It also notes that LLCs are new legal entities so there is little case law guidance. The document focuses on key issues for forming LLCs like securing partnership tax treatment and restrictions on transfers of membership interests. It advocates applying corporate veil piercing standards to LLCs going forward.
Property: Inroduction, Personal Property, and Wills Tara Kissel, M.Ed
This document provides an overview of Chapter 10 from the textbook "Business Law, Sixth Edition" which covers property law including real and personal property, fixtures, methods of acquiring title to personal property such as gifts and bailments, documents of title, personal property leases, wills, and intestate succession. The learning objectives are to distinguish between different types of property, understand how title is transferred, analyze bailment relationships and duties of bailees, explain will requirements and what happens if there is no will.
This document provides an overview of z-scores and the normal distribution. It defines key terms like mean, median, mode and standard deviation. It presents the formulas for calculating z-scores and discusses how to find the percentage of data that falls below or above a given z-score using normal distribution tables. Examples are provided to demonstrate how to calculate z-scores and interpret them on the normal distribution curve.
This document provides information about the standard normal distribution and how to calculate and interpret z-scores and areas under the normal curve. It defines the standard normal distribution as having a mean of 0 and standard deviation of 1. It describes how to calculate a z-score using the formula z = (x - mean) / standard deviation. Several examples are provided of calculating z-scores from raw scores and finding raw scores when given a z-score. The document also describes how areas under the normal curve can represent probabilities and provides examples of calculating areas below, above, and between given z-values.
This document contains examples and explanations of key concepts related to the normal distribution and probability, including:
- Calculating probabilities for various z-scores under the standard normal distribution
- Using the normal distribution to find probabilities for real-world scenarios involving cassette deck lifetimes, cornflake weights, and CEO ages
- Properties of the sampling distribution of sample means, including how it approaches normality as sample size increases based on the Central Limit Theorem
- Worked examples applying concepts like finding probabilities and cutoff scores for sample means and binomial experiments
Stats 3rd nine week chapter 5 review powerpointDebra Wallace
This document provides an overview of key concepts relating to normal distributions and the standard normal distribution. It defines normal distributions and their properties, including that they are symmetric and bell-shaped around the mean. It describes how to draw the standard normal distribution and find areas under the normal curve using the z-score formula and standard normal table. Examples are provided for finding probabilities and percentiles associated with normal distributions. It also addresses how the mean and standard deviation change for sample distributions compared to populations.
Demonstration of a z transformation of a normal distributionkkong
The document demonstrates how to transform a normal distribution with a mean of 10 and standard deviation of 2 into a standard normal distribution with a mean of 0 and standard deviation of 1 using the z-transformation formula. It shows that the z-transformation shifts and compresses the original distribution allowing its probabilities to be determined using standard normal distribution tables. As an example, it finds the probability of a value less than or equal to 8 in the original distribution to be 15.9% by transforming it to the equivalent value of -1 in the standard normal distribution.
This document discusses random variables. It begins by defining a random variable as a real number that can be associated with outcomes of a random experiment. It then discusses key concepts related to random variables including:
- Probability mass functions for discrete random variables
- Examples of discrete and continuous random variables
- Probability distributions and distribution functions
- Calculating the mean, variance, and expectation of random variables
- Properties of variance and how it changes based on scale and origin
- Examples of calculating expectations for different random variables
The document provides examples to illustrate concepts like probability mass functions, discrete vs. continuous random variables, distribution functions, variance, and expectation. It covers the essential topics around random variables in 3 sentences or less
This document discusses key concepts in probability theory including:
- Probability is a quantitative measure of uncertainty ranging from 0 to 1.
- Experiments produce outcomes that define events in a sample space.
- There are different approaches to determining probability (classical, relative frequency, subjective).
- Probability can be classified as marginal, union, joint, or conditional depending on the relationship between events.
- Common discrete and continuous probability distributions include the binomial, Poisson, and normal distributions.
The document discusses random variables and probability distributions. It provides examples of random variables like the number of heads from tossing a coin 3 times. The possible values and probabilities are shown in tables and graphs. Key concepts explained include the expected value (mean) of a random variable being the sum of each value multiplied by its probability. The variance is the sum of the squared differences between each value and the mean, and measures variability. The standard deviation is the square root of the variance.
This document provides an introduction to random variables. It defines random variables as functions that assign real numbers to outcomes of an experiment. Random variables can be either discrete or continuous depending on whether their possible values are countable or uncountable. The document also defines probability mass functions (pmf) which describe the probabilities of discrete random variables taking on particular values. Expectation is introduced as a way to summarize random variables using a single number by taking a weighted average of all possible outcomes.
This document discusses various statistical methods used to organize and interpret data. It describes descriptive statistics, which summarize and simplify data through measures of central tendency like mean, median, and mode, and measures of variability like range and standard deviation. Frequency distributions are presented through tables, graphs, and other visual displays to organize raw data into meaningful categories.
This document defines key concepts related to random variables including:
- A random variable is a numerical measure of outcomes from a random phenomenon.
- Probability distributions describe the probabilities associated with random variables.
- Expected value refers to the mean or weighted average of a probability distribution.
- As the number of trials increases, the actual mean approaches the true mean due to the Law of Large Numbers.
- Binomial and geometric distributions model situations with success/failure outcomes and independence between trials.
Bba 3274 qm week 3 probability distributionStephen Ong
This document provides an introduction and overview of probability distributions. It begins by defining random variables and explaining the difference between discrete and continuous random variables. It then discusses several common probability distributions including the binomial, normal, F, exponential, and Poisson distributions. For each distribution, it provides the key formulas and explains how to calculate values such as the expected value and variance. It also demonstrates how to use Excel functions to calculate probabilities and other measures for these distributions. The document aims to help students understand different probability distributions and how to apply them to calculate relevant metrics.
The document discusses the federal government's bailout programs in response to the financial crisis and economic downturn. It provides an overview of the Emergency Economic Stabilization Act of 2008 which authorized $700 billion for the Troubled Asset Relief Program (TARP) to purchase distressed assets from banks. It also describes the creation of the Term Asset-Backed Securities Loan Facility (TALF) to help restart the credit markets.
Interim Injunctions to Freeze Assets in Fraud Casesppengelley
1. The document discusses the history and development of Mareva injunctions in common law jurisdictions like the UK and Canada. It traces the expansion of such injunctions from exceptions to the common law rule against pre-judgment asset freezing to more broad acceptance.
2. A key case was Mareva Compania Naviera SA v. International Bulkcarriers SA which established that courts have authority to freeze a defendant's assets before trial if there is a risk they may dispose of their assets and defeat a potential judgment.
3. Subsequent cases set guidelines for Mareva injunctions while also broadening the scope to include risks of asset removal rather than just subject matter of litigation. Mills v. Petrovic created a
title Inside Job.pptx its global crises or fraudMaria32232
The document discusses key speakers and causes of the 2008 global economic crisis. Deregulation in the late 1990s and growth of complex financial products like derivatives led to over $100 trillion worth of risky subprime mortgages being packaged and sold. This created a housing bubble that burst in 2007-2008 when borrowers defaulted, causing major global banks and institutions like Lehman Brothers to collapse and precipitating a worldwide recession. Millions lost their jobs, homes, and savings as a result of the crisis fueled by greed and lack of oversight of the financial industry.
2008 Stock Market Disaster Revised September 2012 For SlideshareJoe Collins
The 2008 Stock Market Disaster
The document summarizes the key events and factors that led to the 2008 stock market crisis. It discusses how deregulation of the banking industry in the 1990s allowed banks to engage in risky behaviors like predatory lending and investing in mortgage-backed securities and derivatives. It also examines the role of government policies like the Community Reinvestment Act in pressuring banks to lower lending standards. Ultimately, unregulated trading of mortgage-backed securities and derivatives like credit default swaps led to the crisis when the housing bubble burst in 2007-2008.
REAP - Real Estate Administrative Procedurerevivemyworld
The document discusses the causes of the mortgage crisis, including deregulation of the financial industry that allowed risky lending practices. It will cover evidence of lender wrongdoing, how lender violations can help homeowners get equity back, results clients have achieved, and the death of the short sale. The presentation will address the mortgage crisis, its causes in the unchecked financial industry, and strategies homeowners can use to recover equity.
This document is a certificate of service for a response filed by Allied Systems Holdings, Inc. and Allied Systems, Ltd. (L.P.) regarding a motion by petitioning creditors BDCM Opportunity Fund II, LP, Black Diamond CLO 2005-1 Adviser L.L.C., and Spectrum Investment Partners LP to shorten time for a hearing on appointing a trustee. The certificate lists the parties that were served the response by mail or hand delivery on May 21, 2012.
The document summarizes:
1) Nicolette Ward discusses creative reasons people give for not paying their mortgages, such as the "Freeman on the Land" movement which claims people can opt out of debt obligations.
2) HML forecasts that UK repossessions will decline to 20,606 in 2015, with the highest number in Greater London.
3) A third of interest-only mortgage customers contacted by two lenders immediately took up an offer of free mortgage advice.
ORC Chapter 1705 - Ohio's New Statute on Limited Liability CompaniesAndrew Wecker
This document summarizes an article about Ohio's new statute on limited liability companies (LLCs). It notes that LLCs combine the tax benefits of partnerships with the liability protections of corporations. However, it cautions that LLCs have drawbacks such as instability and difficulties with financing. It also notes that LLCs are new legal entities so there is little case law guidance. The document focuses on key issues for forming LLCs like securing partnership tax treatment and restrictions on transfers of membership interests. It advocates applying corporate veil piercing standards to LLCs going forward.
Property: Inroduction, Personal Property, and Wills Tara Kissel, M.Ed
This document provides an overview of Chapter 10 from the textbook "Business Law, Sixth Edition" which covers property law including real and personal property, fixtures, methods of acquiring title to personal property such as gifts and bailments, documents of title, personal property leases, wills, and intestate succession. The learning objectives are to distinguish between different types of property, understand how title is transferred, analyze bailment relationships and duties of bailees, explain will requirements and what happens if there is no will.
The collapse of Lehman Brothers was precipitated by the subprime mortgage crisis. Subprime lending involved making loans to borrowers who did not qualify for market interest rates. By 2008, 25% of subprime loans were delinquent or in foreclosure. Government policies in the 1970s and 1990s loosened lending standards and encouraged risky lending. Financial innovation like securitization and CDOs made the risks associated with subprime mortgages difficult to assess. In September 2008, JP Morgan demanded billions in collateral from Lehman, which Lehman could not pay, leading to its bankruptcy.
The 2008 financial crisis was caused by the repeal of regulations separating commercial and investment banking (Glass-Steagall Act). This led to excessive risk taking, complex financial products, lack of oversight, and the housing bubble. The crisis started with the collapse of the housing market but was exacerbated by factors like credit default swaps, subprime lending, and the use of leverage. Proper regulation and accounting standards are needed to prevent future crises and ensure stability and transparency in the financial system.
In this paper Jon Terracciano will examine the current regulatory environment in which hedge funds operate, and will argue that although the regulatory system is in need of reform, proposed legislation is unnecessarily restrictive and could actually harm U.S. and international markets.
The document discusses the history and underlying causes of the global financial crisis. It outlines the decades of deregulation in the US financial system since the 1980s, including the removal of restrictions on savings and loans and the repeal of Glass-Steagall. This led to excessive risk taking by financial institutions through practices like subprime lending, securitization of risky assets, and credit default swaps without adequate oversight. The crisis impacted global economies through reduced demand and interbank lending seizures. The US implemented rescue packages totaling over $1.5 trillion to stabilize financial markets and stimulate the economy.
The document summarizes the historical development of bankruptcy law from medieval England to modern times. It discusses key developments including:
1) The first English bankruptcy statute passed in 1542 under King Henry VIII to deal with fraudulent traders and secure property for creditors. Debtors remained liable for debts.
2) Early bankruptcy law only applied to traders and provided no relief for debtors. Reforms were piecemeal and punishment of debtors continued.
3) In the 18th-19th centuries, a distinction emerged between dishonest and honest but unfortunate debtors. The 1869 Act provided relief for both traders and non-traders, freed bankrupts from debts, and established administration of bankruptcy.
4)
May 13, 2015 Webinar
Presented by EDR & EBA
“The Dodd-Frank Act” is all over the news. It’s reportedly killing community banks, and will impact all of the banking members in this distribution in some capacity. In continuation of a February Environmental Bankers Association - Risk Management Call (EBA-RMC) John Rybak and Greg Lampe of BB&T Bank, and attorney Brad Merrill of Snell-Wilmer, will provide an explanation of what’s going on, notably with respect to Banking Vendor Management (“vetting the vendors”).
Since its passage in 2010, implementation and interpretation of the 2,323 page long Dodd-Frank Act has touched most every part of banking including how banks use vendors, particularly in the area of mortgages and consumer compliance. Five years later there remains substantial uncertainty as new rule making continues. During our call we will provide a summary of key regulatory areas every banker should be aware of in vendor management as well as some of the general results of Dodd-Frank and exposure for non-compliance.
1) The document outlines the structure of credit-linked notes issued by Germany through a special purpose vehicle (SPV) called Aries Vermögensverwaltungs GmbH in 2004 to monetize part of Germany's debt from Russia.
2) The structure involves Germany making payments to Aries, who passes them to a trustee and then to KfW, a German development bank, who uses the funds to pay noteholders. If Russia defaults on its debt to Germany, noteholders receive a reduced payout.
3) Key parties involved are Germany, who benefits from obtaining funds and controlling default triggers; Aries, who is an SPV acting as the issuer; KfW, who
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