Renting Balance Sheet Space: Intermediary Balance Sheet Rental Costs and the Valuation of Derivatives

2020 ◽  
Vol 33 (11) ◽  
pp. 5051-5091 ◽  
Author(s):  
Matthias Fleckenstein ◽  
Francis A Longstaff

Abstract A long-standing asset pricing puzzle is that the funding rates in derivatives contracts often differ from those in cash markets. We propose that the cost of renting intermediary balance sheet space may help resolve this puzzle. We study a persistent basis in what is arguably the largest derivatives market, namely, the interest rate futures market. This basis is strongly related to exogenous measures of intermediary balance sheet usage and proxies for the balance sheet costs imposed by debt overhang problems and capital regulation. These results extend to the cash derivatives bases documented in many of the other largest financial markets.

Subject US Federal Reserve policy. Significance The US repurchase agreement (repo) rate, the interest rate on overnight loans backed by Treasury securities to facilitate a range of transactions, suddenly soared above 5% on September 15, 2019. There were immediate effects across financial markets, but the Federal Reserve (Fed) quickly bought up Treasury bills and the repo rate returned to the Fed’s 2.00-2.25% target range. However, concerns linger about whether a spike could recur. The Fed has increased its balance sheet by more than 10% since September but sees this as a temporary adjustment rather than a policy change. Impacts Having narrowed to 3.7 trillion dollars by August 2019, the Fed’s balance sheet could pass its 4.4-trillion-dollar record this year. The Fed will seek to ensure its has enough resources for corporate-tax payment dates but without increasing its holdings indefinitely. Increasing the size of the Fed’s balance sheet could limit the effectiveness of further balance sheet expansion in a future crisis.


2019 ◽  
Vol 14 (03) ◽  
pp. 1950015
Author(s):  
QASIM RAZA SYED ◽  
WASEEM SHAHID MALIK ◽  
BISHARAT HUSSAIN CHANG

This paper examines the volatility spillover effect of the balance sheet of Federal Reserve (Fed) on the financial and goods markets of Pakistan, India and Bangladesh (collectively known as the Indo-Pak region). Diagonal BEKK-GARCH methodology is used to capture the volatility spillover effects on Indo-Pak economies. This study took data from the year 2004 to year 2019 on a monthly basis. The findings of the paper describe that there are volatility spillovers from Fed’s balance sheet to the financial markets of Pakistan, India and Bangladesh economies. On the other hand, there is also evidence of volatility spillovers from the balance sheet of Fed to the goods markets of these economies.


2019 ◽  
Vol 7 (4) ◽  
pp. 66
Author(s):  
Victor Olkhov

This paper develops methods and a framework of financial market theory. We model financial markets as a system of agents which perform market transactions with other agents under the action of numerous expectations. Agents’ expectations are formed of economic and financial variables, market transactions, the expectations of other agents, and other factors that impact financial markets. We use the risk ratings of agents as their coordinates and approximate a description of financial variables, market transactions, and expectations of numerous separate agents by density functions of aggregated agents in the economic domain. The motion of separate agents in the economic domain due to a change of agents’ risk rating produces collective financial flows of variables, transactions, and expectations. We derive equations on collective financial variables, market transactions, expectations, and their flows in the economic domain. These flows define the evolution of financial markets. As an example, we present a simple model with linear dependence between disturbances of volume and the cost of transactions on one hand, and disturbances of expectations that determine transactions on the other hand. Our model describes harmonique oscillations of these disturbances with numerous frequencies and allows an explicit form for fluctuations of price and return to be derived. These relations show a direct dependence between price, return, and volume perturbations.


2019 ◽  
Vol 9 (2) ◽  
pp. 35
Author(s):  
Sri Marti Pramudena

This study aims to determine the financial position and financial performance Cooperative Sucofindo Jaya (KOPSUCOFINDO JAYA) from fiscal year 2009-2011 through a comparative analysis / comparisons and ratio analysis. From the research, the authors obtained a picture that results of the financial position and financial performance of KOPSUCOFINDO JAYA as follows: (1) To Horizontal Analysis of the Balance Sheet shows the overall unfavorable developments as the rise of short-term debt experienced a greater percentage increase than the increase in current assets (2) For Horizontal Analysis of the SHU, SHU in 2010 an increase of 125.38% compared to 2009 and in 2011 increased by 282.47% compared to 2009, but this increase was not followed by a reduction in the burden of cost of goods, especially business and this increase was obtained from the contribution percentage increase in other income. (3) For Vertical Analysis of the Balance Sheet shows that in terms of assets, current assets are assets that make up the largest component but also cause considerable investment value embedded in current assets and also showed asset turnover, receivables turnover and working capital is very low under 1 times. (4) For the SHU Vertical analysis shows that income JAYA KOPSUCOFINDO more than 85% absorbed in the Cost of Goods. (5) For liquidity analysis showed that highly liquid KOPSUCOFINDO JAYA obtain an average value above 400%. (6) For solvency analysis shows that the performance is not good / not solvable because the results of the analysis LITA average of above 95%, Total Debt to Equity Ratio in the top 2.000%, and Net Worth Debt Ratio to average below 4%. (7) For activity ratios indicate that the performance is not good for Turnover of Assets value of 1 times. (8) For the rentability analysis KOPSUCOFINDO JAYA show results for ROA of 0.86% (2009), 1.31% (2010), 1.18% (2011), ROE in 2009 is 14.81%, 26.43% in 2010 and 2011 amounted to 31.11%, for the ROI of 0.56% in 2009, in 2010 was 0.96% and by 0.93% in 2011. (9) For the analysis of profitability, for the analysis of GPM in 2009 amounted to 1.49%, in 2010 of 2.31% and 3.92% in 2011. As for the analysis of NPM in 2009 amounted to 0.97%, in 2010 by 1.70% and by 3.10% in 2011. Keywords:  Cooperative Financial Performance, horizontal analysis, vertical analysis, Analysis of Liquidity, Solvency Analysis, Activity Analysis, Profitability Analysis, profitability analysis


2020 ◽  
Vol 42 (1) ◽  
pp. 33-46
Author(s):  
Raúl Gómez-Martínez ◽  
Camila Marqués-Bogliani ◽  
Jessica Paule-Vianez

Behavioural finance has shown that investment decisions are the result of not just rational but also emotional brain processes. On the assumption that emotions affect financial markets, it would seem likely that football results might have a measurable effect on financial markets. To test this, this study describes three algorithmic trading systems based exclusively on the results of three top European football teams (Juventus, Bayern München and Paris St Germain) opening long or short positions in the next market season of the futures market of the index of each country (MIB (Milano Italia Borsa), DAX (Deutscher Aktien Index) and CAC (Cotation Assistée en Continu). Depending on the outcome of the last game played a long position was taken after a victory and a short position after a draw or defeat. The results showed that the algorithmic systems were profitable in the case of Juventus and Bayern whereas in the case of PSG, the system was profitable, but in an inverse way. This study shows that investment strategies that take account of sports sentiment could have a profitable outcome.


2020 ◽  
Vol 12 (7) ◽  
pp. 2767 ◽  
Author(s):  
Víctor Yepes ◽  
José V. Martí ◽  
José García

The optimization of the cost and CO 2 emissions in earth-retaining walls is of relevance, since these structures are often used in civil engineering. The optimization of costs is essential for the competitiveness of the construction company, and the optimization of emissions is relevant in the environmental impact of construction. To address the optimization, black hole metaheuristics were used, along with a discretization mechanism based on min–max normalization. The stability of the algorithm was evaluated with respect to the solutions obtained; the steel and concrete values obtained in both optimizations were analyzed. Additionally, the geometric variables of the structure were compared. Finally, the results obtained were compared with another algorithm that solved the problem. The results show that there is a trade-off between the use of steel and concrete. The solutions that minimize CO 2 emissions prefer the use of concrete instead of those that optimize the cost. On the other hand, when comparing the geometric variables, it is seen that most remain similar in both optimizations except for the distance between buttresses. When comparing with another algorithm, the results show a good performance in optimization using the black hole algorithm.


2020 ◽  
Vol 3 (1) ◽  
pp. 61
Author(s):  
Kazuhiro Aruga

In this study, two operational methodologies to extract thinned woods were investigated in the Nasunogahara area, Tochigi Prefecture, Japan. Methodology one included manual extraction and light truck transportation. Methodology two included mini-forwarder forwarding and four-ton truck transportation. Furthermore, a newly introduced chipper was investigated. As a result, costs of manual extractions within 10 m and 20 m were JPY942/m3 and JPY1040/m3, respectively. On the other hand, the forwarding cost of the mini-forwarder was JPY499/m3, which was significantly lower than the cost of manual extractions. Transportation costs with light trucks and four-ton trucks were JPY7224/m3 and JPY1298/m3, respectively, with 28 km transportation distances. Chipping operation costs were JPY1036/m3 and JPY1160/m3 with three and two persons, respectively. Finally, the total costs of methodologies one and two from extraction within 20 m to chipping were estimated as JPY9300/m3 and JPY2833/m3, respectively, with 28 km transportation distances and three-person chipping operations (EUR1 = JPY126, as of 12 August 2020).


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