Economics Commons^™

اثر الوعي الضريبي في زيادة العوائد الضريبية دراسة تحليلية في الهيئة العامة للضرائب فرع الديوانية, علي غانم شاكر, كرار حاتم عطية

Muthanna Journal of Administrative and Economics Sciences

No abstract provided.

دور بطاقة العلامات المتوازنة والمقارنة المرجعية في تحسين الاداء بحث تطبيقي في محطات انتاج الطاقة الكهربائية في العراق, عصام حميد الشايع, ستار جبار مبيد الاعاجيبي

Muthanna Journal of Administrative and Economics Sciences

No abstract provided.

العلاقة بين الابلاغ المالي والانصاف في العرض واثرها في تعزيز جودة المعلومات المحاسبية دراسة تطبيقية في عينة من الشركات الصناعية العراقية المدرجة في سوق العراق للأوراق المالية, غسان علي العبادي

Muthanna Journal of Administrative and Economics Sciences

No abstract provided.

تدقيق اداء الاجهزة الرقابية ودوره في تحسين الخدمات الصحية بحث تطبيقي في احدى الشركات العامة لتسويق الادوية والمستلزمات الطبية, عقيل دخيل كريم الاعاجيبي, عقيل جابر كاظم, وعد هادي عبد الحساني

Muthanna Journal of Administrative and Economics Sciences

No abstract provided.

قياس القيمة العادلة للموجودات الثابتة على وفق معيار الابلاغ المالي الدولي Ifrs13 دراسة تطبيقية على الشركة العامة للصناعات الصوفية, صفا مهدي راجي, باسم عبد الله كاظم, علي كريم محمد

Muthanna Journal of Administrative and Economics Sciences

No abstract provided.

أدارة الأرباح في المصارف الخاصة وأثرها على القيمة السوقية بحث تطبيقي على المصارف الخاصة المدرجة في سوق العراق للأوراق المالية, عباس فاضل علي

Muthanna Journal of Administrative and Economics Sciences

No abstract provided.

تطبيق تقنية بطاقة العلامات المتوازنة في تقويم الاداء الاستراتيجي دراسة تطبيقية في مصنع اطارات الديوانية للمدة 2016-2017, صلاح مهدي جواد الكواز, علي تحسين كاظم الخفاجي

Muthanna Journal of Administrative and Economics Sciences

No abstract provided.

قياس مستوى الافصاح عن التعهيد الخارجي لتكنولوجيا المعلومات وعلاقته بجودة التقارير في المنشآت العراقية دراسة حالة في مصرف الخليج التجاري, فارس عبد الزهره عبد الحسين, ابراهيم جعفر حسين

Muthanna Journal of Administrative and Economics Sciences

No abstract provided.

How Do Interest Rates Affect Market Capitalization Growth Rates In The Us?, Philip Carolin

Undergraduate Economic Review

This paper investigates how interest rates affect the market capitalization growth rate of individual companies in the US. The research will distinguish itself from previous literature as it analyzes company and macroeconomic data after the 2008 recession. This is particularly interesting as interest rates have been historically low in this time period. Previous research suggests that since the Great Recession the effects of interest rate changes have decreased. On the contrary I will argue that the effects of interest rates still appear to be significant and substantial when explaining the market capitalization growth rate.

The Impact Of Financial Regulation Policy Uncertainty On Bank Profits And Risk, Robert N. Killins, David W. Johnk, Peter V. Egly

School of Economics and Finance Faculty Publications

Purpose

The purpose of this paper is to explore the impact of financial regulation policy uncertainty (FRPU) on bank profit and risk.

Design/methodology/approach

This study applies dynamic panel techniques and uses the Baker et al. (2016) FRPU index and macroeconomic variables to assess FRPU’s impact on bank profit and risk using Federal Deposit Insurance Corporation call reports from Q1 2000 to Q4 2016 for over 4,760 commercial banks.

Findings

The effect of FRPU on profitability (Return on Assets [ROA] and Return on Equity [ROE]) and risk (standard deviation of ROA and ROE) produces complex results. FRPU negatively (positively) impacts profits …

Payday Lenders And Credit Cards: A Hidden Driver Of Income Inequality, Aaron Klein

Brookings Scholar Lecture Series

As part of the Brookings Scholar Lecture Series, Brookings Mountain West presents a lecture titled "Payday Lenders and Credit Cards: A Hidden Driver of Income Inequality" by Brookings Fellow in Economic Studies, Aaron Klein. This lecture examines how, for millions of working families, America’s slow payment system costs billions of dollars. The system needs technological innovation, but incumbency, economies of scale, and government may counter technological advancement. This lecture explores if the U.S. remains the dominant global standards setter for payment instruments.

Locating An Optimal Site For A Controversial Facility, Jean-Baptiste Tondji

School of Economics and Finance Faculty Publications

We consider a situation in which policymakers in a local community have to choose an optimal site for a controversial and essential project in a democratic setting. Policymakers have either single-dipped or multi-dipped preferences over a Euclidean space of possible locations. We provide two existence results for this issue. There exists at most two optimal sites if the size of policymakers is odd, and they have single-dipped preferences over a one-dimensional site space.

The ‘Security Pacific Letter’: Estimating The Causal Effect Of Securitization On Banks’ Systemic Exposure, Paul-Angelo Dell'isola

Dartmouth Undergraduate Journal of Politics, Economics and World Affairs

This paper aims to test the hypothesis of the ‘Safe Asset narrative’

which states that banks became manufacturers of pseudo safe assets to meet

a global shortage of safe assets in the pre-crisis period. In this narrative,

securitization is the mechanism which enables banks to become underwriters

of safe assets. This paper takes this hypothesis to the data and attempts to

estimate the causal effect of securitization on banks’ systemic exposure. In

particular, this paper exploits a regulatory change that occurred in 1987 when

the OCC expanded the scope of assets US national banks could securitize. By

using state-chartered banks …

Show Me The (Value Of) Money!, Singapore Management University

Perspectives@SMU

Plenty of adults are not financially literate. Teaching children early can make a big difference

New Factor Structure Models And Idiosyncratic Volatility, Ossama Elhadary

Dissertations, Theses, and Capstone Projects

In this dissertation, I propose new factor structures that are based on the Fama-French style factors but include additional locations like the industry groups and the exchanges where the stocks are traded. I show that the stock returns are clustered around the industry groups and the exchanges. Idiosyncratic volatility calculated using the new factor structure models tend to be smaller than those calculated using the traditional Fama-French model. By sorting portfolios using the idiosyncratic volatility computed using the new factor models, a trader can gain larger profits compared to sorting the portfolio using the traditionally calculated idiosyncratic volatility.

Essays On Applied Machine Learning For Implied Volatility Interpolation And Artificial Counterfactuals, Pablo A. Crespo

Dissertations, Theses, and Capstone Projects

This dissertation consists of two chapters.

Chapter 1: Volatility estimates under the risk neutral density have become a much revisited topic of interest in recent years. The density proves itself a powerful tool for sentiment analysis, since its moments provide insights about expectations in price trends. A standard procedure for its extraction utilizes artificial volatility predictions to form a dense enough grid for approximating a complete probability distribution. This paper proposes two common machine learning technique variations to produce implied volatility predictions when data is very scarce. First, a model using regularization through a variation of a generalized LASSO path …

Volatility Timing Under Low-Volatility Strategy, Poh Ling Neo, Chyng Wen Tee

Research Collection Lee Kong Chian School Of Business

The authors devise a volatility timing strategy based on statistical tests on the slope of the volatility decile portfolio return profile. Superior performance is obtained, with a 30% increase in Sharpe ratio and an order of magnitude improvement on cumulated wealth. The profitability of the volatility timing strategy can be attributed to holding a diversified portfolio during bear markets, while holding a concentrated growth portfolio during bull markets.

Forecasting Realized Volatility Using A Nonnegative Semiparametric Model, Anders Eriksson, Daniel P. A. Preve, Jun Yu

Research Collection School Of Economics

This paper introduces a parsimonious and yet flexible semiparametric model to forecast financial volatility. The new model extends a related linear nonnegative autoregressive model previously used in the volatility literature by way of a power transformation. It is semiparametric in the sense that the distributional and functional form of its error component is partially unspecified. The statistical properties of the model are discussed and a novel estimation method is proposed. Simulation studies validate the new method and suggest that it works reasonably well in finite samples. The out-of-sample forecasting performance of the proposed model is evaluated against a number of …

The World Predictive Power Of U.S. Equity Market Skewness Risk, Jian Chen, Fuwei Jiang, Shuyu Xue, Jiaquan Yao

Research Collection Lee Kong Chian School Of Business

This study investigates the cross-country impact of U.S. equity market skewness risk. We find that a large decrease in the U.S. market skewness significantly predicts higher future returns on international equity markets. The predictability remains significant after controlling for a set of U.S. and local forecasting variables. Furthermore, we find strong predictability in- an out-of-sample setting and the predictability delivers a large economic value. The U.S. market skewness also forecasts U.S. economic recessions and international market conditions, consistent with the international three-moment capital asset pricing model (three-moment CAPM) and the intertemporal capital asset pricing model (ICAPM).

The Information In Asset Fire Sales, Sheng Huang, Matthew Ringgenberg, Zhe Zhang

Research Collection Lee Kong Chian School Of Business

Asset prices remain depressed for several years following mutual fund fire sales. We show that this price pressure is partly due to asymmetric information which leads to an adverse selection problem for arbitrageurs. After a flow shock, fund managers do not scale down their portfolio, rather, they choose to sell a subset of low-quality stocks that subsequently underperform. In other words, fund managers have stock selling ability. Our findings suggest an explanation for the tendency of asset prices to remain depressed following fire sales: information asymmetries make it difficult for arbitrageurs to disentangle pure price pressure from negative information.

Jpmorgan Chase London Whale H: Cross-Border Regulation, Arwin G. Zeissler, Andrew Metrick

Journal of Financial Crises

As a global financial service provider, JPMorgan Chase (JPM) is supervised by banking regulatory agencies in different countries. Bruno Iksil, the derivatives trader primarily responsible for the $6 billion trading loss in 2012, was based in JPM’s London office. This office was regulated both by the Office of the Comptroller of the Currency (OCC) of the United States (US) and by the Financial Services Authority (FSA), which served as the sole regulator of all financial services in the United Kingdom (UK). Banking regulators in the US and the UK have entered into agreements with one another to define basic parameters …

Jpmorgan Chase London Whale D: Risk-Management Practices, Arwin G. Zeissler, Andrew Metrick

Journal of Financial Crises

JPMorgan Chase (JPM) prided itself on having the best risk-management practices in the financial industry, having survived the 2007-09 financial crisis in better shape than many competitors. Chief Executive Officer Jamie Dimon often spoke of the bank’s “fortress balance sheet.” A keen focus on risk management is vital to JPM’s longevity, as is the case with all highly leveraged financial institutions. However, the JPM Task Force that investigated the $6 billion 2012 London Whale trading loss concluded that risk-management practices at the bank’s Chief Investment Office (CIO), the unit in which the loss occurred, were given less scrutiny by senior …

Jpmorgan Chase London Whale C: Risk Limits, Metrics, And Models, Arwin G. Zeissler, Andrew Metrick

Journal of Financial Crises

Value at Risk (VaR) is one of the most commonly used ways to measure and monitor market risk. At JPMorgan Chase (JPM), very large derivative positions established by Bruno Iksil in the Synthetic Credit Portfolio (SCP) caused the bank’s Chief Investment Office (CIO) to exceed its VaR limit for four days in a row in January 2012. In response, the CIO changed to a new VaR model on January 30, which appeared to immediately reduce VaR by half. However, JPM soon discovered that this new VaR model had not been properly implemented and the bank went back to using the …

Jpmorgan Chase London Whale B: Derivatives Valuation, Arwin G. Zeissler, Andrew Metrick

Journal of Financial Crises

After consistently producing positive results through 2011, the JPMorgan Chase (JPM) traders who oversaw the bank’s Synthetic Credit Portfolio (SCP) grew alarmed by a consistent string of losses beginning in January 2012. (The SCP was maintained by JPM to help hedge default risk and was the source of the 2012 London Whale trading loss.) To minimize the losses reported to their superiors until such time that market prices hopefully turned in their favor, the SCP traders began valuing their largest derivative positions in a manner that was not consistent with Generally Accepted Accounting Principles (GAAP) and JPM policy. The fair …

Jpmorgan Chase London Whale A: Risky Business, Arwin G. Zeissler, Daisuke Ikeda, Andrew Metrick

Journal of Financial Crises

In December 2011, the Chief Executive Officer and Chief Financial Officer of JPMorgan Chase (JPM) instructed the bank’s Chief Investment Office to reduce the size of its Synthetic Credit Portfolio (SCP) during 2012, so that JPM could decrease its RiskWeighted Assets as the bank prepared to adopt the impending Basel III bank capital regulations. However, the SCP traders were also told to minimize the trading costs incurred to reduce Risk-Weighted Assets, while still maintaining the opportunity to profit from unexpected corporate bankruptcies. In an attempt to balance these competing objectives, head SCP derivatives trader Bruno Iksil suggested in January 2012 …

The Temporary Liquidity Guarantee Program: A Systemwide Systemic Risk Exception, Lee Davison

Journal of Financial Crises

In the fall of 2008, short-term credit markets were all but frozen, creating liquidity issues for banks and bank holding companies that could not rollover their debt at reasonable rates. Fearing that the situation would worsen if something was not done, the Federal Deposit Insurance Corporation (FDIC) and the Federal Reserve Board invoked, and the Secretary of the Treasury approved, the use of the “systemic risk exception” (SRE) under the Federal Deposit Insurance Corporation Improvement Act of 1991, to provide unprecedented broad-based relief to struggling banks. The SRE permitted the FDIC to depart from its “least-cost” requirement when addressing failing …

Freight Fluctuation Risk Assessment And Management Of Container Shipping Companies, Bochan Shen

World Maritime University Dissertations

No abstract provided.

The Danger Of Being Neighbors : Community Information And Corporate Tax Avoidance, Xiaowei Wang

Lingnan Theses (MPhil & PhD)

This paper examines the relationship between tax officers’ access to community information and the effectiveness of tax authorities in constraining tax avoidance in China. Numerous studies document that people can obtain valuable information in the community in which their daily activities take place (community information). Focusing on a valuable setting in China in which corporate taxes are collected by tax offices that are located very close to firms (with an average distance of 6.5 km), this study examines whether tax officers’ access to community information at a firm’s location can reduce the firm’s tax avoidance. I broadly define tax avoidance …

Do What I Say, Not What I Do? Personal Finance Experiences Of Purdue Alumni And Advice For Current Undergraduate Students, Andi Long

The Journal of Purdue Undergraduate Research

No abstract provided.

Garch Modeling Of Value At Risk And Expected Shortfall Using Bayesian Model Averaging, Ismail Kheir

Theses and Dissertations

This thesis conducts Value at Risk (VaR) and Expected Shortfall (ES) estimation using GARCH modeling and Bayesian Model Averaging (BMA). BMA considers multiple models weighted by some information criterion. Through BMA, this thesis finds that VaR and ES estimates can be improved through enhanced modeling of the data generation process.