Report on a review of selected general and application controls over the Iowa State University of Science and Technology Kuali Financial System for the period April 30, 2014 through May 28, 2014

Report on a review of selected general and application controls over the Iowa State University of Science and Technology Kuali Financial System for the period April 30, 2014 through May 28, 2014

Product Launch in Industrial Markets – Financial Risks in New AMD Elevator Door Launch

Tuotekehitys ja uusien tuotteiden lanseeraus on teollisen yrityksen menestyksekkään liiketoiminnan elinehtoja tämän päivän kilpailussa. Teollisuusyrityksen tuotteiden innovaatioaikakausia on ollut lukuisia, samoin kuin uuden tuotteen lanseerauksen lähtökohtia. Aikakausista, jolloin tuotteita kehitettiin yrityksen omista lähtökohdista, kuten valmistuksellisista eduista, on edetty tilanteeseen, jossa markkinoiden tarpeita tulee ottaa yhä enemmän huomioon. Kuitenkin, teollisuudessa esitellään tuotteita yhä puhtaasti tuotantolähtöisesti, ja tutkimuksen tavoitteena on selvittää taloudellisia riskejä, joita liittyy puhtaasti teknologiavetoiseen tuotteiden kehitystyöhön, valmistukseen ja lanseeraukseen. Normatiivisena tutkimuksena työ pyrkii asiakastarpeita ja teollisuusyrityksen loppuasiakkaiden näkökulmia huomioon ottaen osoittamaan markkinoinnin keinojen merkityksen tuotantolähtöisen tuotelanseerauksen taloudellisten riskien minimoimiseksi. Uuden teollisen tuotteen asiakastarpeita on selvitetty kyselymuotoisen markkinointitutkimuksen menetelmiä hyväksikäyttäen. Tuotteen tärkeimpien ominaisuuksien, kuten turvallisuuden, kestävyyden ja hinnan merkitystä voidaan hyödyntää ennen tuotteen kaupallista esittelyä potentiaalisten asiakassegmenttien kartoitukseen ja menestyksellisen lanseerauksen edesauttamiseksi.

Determinants of credit default swap spread, the effect of the financial crisis in the us markets

The purpose of this study is to define what determinants affect the Credit spread. There are two theoretical frameworks to study this: structural models and reduced form models. Structural models indicate that the main determinants are company leverage, volatility and risk-free interest rate, and other market and firm-specific variables. The purpose is to determine which of these theoretical determinants can explain the CDS spread and also how these theoretical determinants are affected by the financial crisis in 2007. The data is collected from 30 companies in the US Markets, mainly S&P Large Cap. The sample time-frame is 31.1.2004 – 31.12.2009. Empirical studies indicate that structural models can explain the CDS spreads well. Also, there were significant differences between bear and bull markets. The main determinants explaining CDS spreads were leverage and volatility. The other determinants were significant, depending on the sample period. However, these other variables did not explain the spread consistently.

Emerging markets and the international financial architecture: a blueprint for reform

If emerging markets are to achieve their objective of joining the ranks of industrialized, developed countries, they must use their economic and political influence to support radical change in the international financial system. This working paper recommends John Maynard Keynes's "clearing union" as a blueprint for reform of the international financial architecture that could address emerging market grievances more effectively than current approaches. Keynes's proposal for the postwar international system sought to remedy some of the same problems currently facing emerging market economies. It was based on the idea that financial stability was predicated on a balance between imports and exports over time, with any divergence from balance providing automatic financing of the debit countries by the creditor countries via a global clearinghouse or settlement system for trade and payments on current account. This eliminated national currency payments for imports and exports; countries received credits or debits in a notional unit of account fixed to national currency. Since the unit of account could not be traded, bought, or sold, it would not be an international reserve currency. The credits with the clearinghouse could only be used to offset debits by buying imports, and if not used for this purpose they would eventually be extinguished; hence the burden of adjustment would be shared equally - credit generated by surpluses would have to be used to buy imports from the countries with debit balances. Emerging market economies could improve upon current schemes for regionally governed financial institutions by using this proposal as a template for the creation of regional clearing unions using a notional unit of account.

Reforming Cooperative Credit Structure in India for Financial Inclusion

In the drive for financial inclusion in India, cooperative banks assume prime importance as they are much more accessible to the rural poor than commercial banks. While more accessible, cooperative banks' financial health is rather poor and, therefore, might not be able to serve the needy in a sustained manner. A committee led by Prof. Vaidyanathan has outlined a revival package for cooperatives. Besides suggesting an infusion of funds, it called for the adherence to certain stringent norms to ensure the financial viability. The recommendations provided in the committee’s report are under various stages of implementation in India. The book examines the progress of this reform drive in Bihar, a state in Eastern India. It discusses the background for appointing the committee and its recommendations and also presents the findings of a field study conducted in this regard. The findings inform further policy suggestions which are of general interest to the drive for financial inclusion also in other countries.

Measuring and testing for the systemically important financial institutions

This paper analyzes the measure of systemic importance ∆CoV aR proposed by Adrian and Brunnermeier (2009, 2010) within the context of a similar class of risk measures used in the risk management literature. In addition, we develop a series of testing procedures, based on ∆CoV aR, to identify and rank the systemically important institutions. We stress the importance of statistical testing in interpreting the measure of systemic importance. An empirical application illustrates the testing procedures, using equity data for three European banks.

Dynamic conditional correlation in Latin-American asset markets

In this paper we reviewed the models of volatility for a group of five Latin American countries, mainly motivated by the recent periods of financial turbulence. Our results based on high frequency data suggest that Dynamic multivariate models are more powerful to study the volatilities of asset returns than Constant Conditional Correlation models. For the group of countries included, we identified that domestic volatilities of asset markets have been increasing; but the co-volatility of the region is still moderate.

Network externalities across financial institutions

We propose and estimate a financial distress model that explicitly accounts for the interactions or spill-over effects between financial institutions, through the use of a spatial continuity matrix that is build from financial network data of inter bank transactions. Such setup of the financial distress model allows for the empirical validation of the importance of network externalities in determining financial distress, in addition to institution specific and macroeconomic covariates. The relevance of such specification is that it incorporates simultaneously micro-prudential factors (Basel 2) as well as macro-prudential and systemic factors (Basel 3) as determinants of financial distress. Results indicate network externalities are an important determinant of financial health of a financial institutions. The parameter that measures the effect of network externalities is both economically and statistical significant and its inclusion as a risk factor reduces the importance of the firm specific variables such as the size or degree of leverage of the financial institution. In addition we analyze the policy implications of the network factor model for capital requirements and deposit insurance pricing.